358 Econometrics Jobs - Page 3

JD 1: SIS – DQM- Data Quality team (C10) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL Proficient in MS Excel, PowerPoint Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results. We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks. As part of the team, you’ll help organisations manage the deployment and maintenance of complex models used for risk management and valuation. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Fraud/AML Risk Analytics Professional Job Specification As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 12-15 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Title: Senior Associate (Business Analyst), Data Science - Contact Centre as a Service (CCaaS) Position: Senior Associate (CCaaS) Industry: Digital Contact Solutions (DCS), Telecommunications-Media-Technology (TMT), Health Industries (Payers, Providers, Life Sciences), BFS&I, RTH. Domain: Data Science - Contact Centre as a Service (CCaaS) About Acceleration Center Bangalore At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients.The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics and vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel We are looking for CCaaS Business Analyst with a strong Contact Centre Application Development & solution design background (and overall professional experience of 10+ years) to work in our Cloud & Digital practice in Mumbai, Bangalore. The Senior Associate will work as an integral part of business analytics & transformation teams in India alongside clients and consultants in the U.S., being integral to high-end CCaaS consulting engagements, presales and development expertise. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Internal & External stakeholder management Familiarity with the CCaaS domain, In-depth functional knowledge of sell-service (IVR, Chat Bots) , omni channel & agent desktop applications) of CCaaS platforms like MS DCCP, Amazon Connect , NICECXOne, , Genesys Cloud , Cisco Webex CC, Cisco HCS, UCCE/PCCE Governance & communication skills Deeper techno functional CCaaS expertise for the platforms MS DCCP, Amazon Connect, Genesys Cloud/NICE CX One. Analyze existing business processes and identify opportunities for improvement through technology. Translate business requirements into technical specifications for development teams. Create process maps, use cases, and user stories to illustrate requirements and workflows. Facilitate workshops and meetings with cross-functional teams to ensure alignment on project goals. Assist in the testing and validation of cloud contact center solutions, ensuring they meet business needs. Monitor project progress and provide regular updates to stakeholders. Stay current with industry trends and best practices related to cloud contact centers and customer experience. Ensure compliance with industry standards and best practices. Analyze test results and provide detailed reports on findings. Participate in agile ceremonies, providing input on quality assurance processes Provide effective real time demonstrations of CCaaS & AI (Bots) platforms Run and execute complete User Acceptance Test alongside testers Proficient in writing user stories in JIRA High proficiency in defining top notch customer facing slides/presentations Nice To Have Experience in CPaaS platforms (Twilio, Infobip) for synergies between Communication Platform As A Service & Contact Center As a Service Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics Work on high velocity Presales solution consulting engagements (RFP, RFI, RFQ) Define industry specific use cases (BFS & I, Telecom, Retail, Manlog etc) Defining Business Case Roles And Responsibilities Stakeholder management (internal & external) Proficient in writing user stories in JIRA (typically for CCaaS) Facilitate workshops and meetings with cross-functional teams to ensure alignment on project goals. Assist in the testing and validation of cloud contact center solutions, ensuring they meet business needs Translate business requirements into technical specifications for development teams. Create process maps, use cases, and user stories to illustrate requirements and workflows. Monitor project progress and provide regular updates to stakeholders. Stay current with industry trends and best practices related to cloud contact centers and customer experience. CCaaS & Conversational AI demonstrations & Proof of Concepts to customers/prospects Develop and execute on project & analysis plans under the guidance of project manager CI CD – Git Repo, Git labs, AWS Pipeline , Azure Devops (any of these) Validate test requirement & analysis outcomes, recommendations with all stakeholders including the client team Collaborate with internal cross functional teams & leadership during project delivery engagements Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge, innovation and firm building activities CCaaS Domain Expertise Understanding of the Contact Centre as a Service domain Proficiency with CCaaS platforms (MS DCCP, Amazon Connect, Genesys Cloud, Cisco Webex CC, Cisco UCCE, PCCE, NICE CXOne, Calibrio, Verint, Genesys Engage) Stay up to date with industry trends, best practices, and emerging technologies related to CCaaS and conversational AI. End to End functional knowledge of Omni-Channel customer experience solutions (Conversational IVR, Chat Bots, Messaging Bots(WhatsApp, Fb, X) , Voice Bots, Email, Chat & SMS. This includes Unit Testing, Functional & Integration Testing. Proficient with CCaaS platform features, license types Capability to functionally understand the end to end CCaaS solution aspects including SIP , Network, CCaaS Application Development Basic Understanding of networking terminologies in CCaaS (underlay, overlay design) MPLS,SDWAN/Internet , BYOC , SBC/Media Gateways setup & configurations . What We Offer At PwC, we care for the mental & physical wellbeing of our people and respect the flexibility that is needed in these difficult times. Keeping these factors in mind, we have introduced policies around Work-from-Home. Anywhere and flexible working hours. Mid-year appraisal cycle to reward performance on time Opportunities to solve problems which matter to our clients and have a strong, long-lasting impacts Continuous learning and upskilling opportunities nurturing you to become a better leader and consultant of tomorrow. We provide you access to Massive Online Open Courses (MOOC) at no cost. A world class leadership to guide you on gaining expertise across various functions and a top notch diverse peer group to support you throughout the journey Interaction with the senior client leadership and a chance to meet them in person by visiting client locations (as needed) and/or permanent relocation Show more Show less

Company Overview Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 59 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We are passionate about achieving results for our clients (our public clients have historically outperformed the stock market 4:1). We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Department Overview The Reporting and Analytics CoE is an integral part of Bain’s global PPK group (Product, Practice and Knowledge). The team is responsible for bringing various functional reporting pieces under one umbrella to provide integrated and centralized reporting to the firm leadership on various aspects of the firm performance. Position Summary PPK Reporting & Analytics CoE has experienced strong growth as an internal business intelligence and analytics business over the past five years. Given the expansion of the team, we are looking for a Senior Specialist to join our Global Financial Planning and Analysis teamlet to help drive its analytical capabilities to full potential over the next phase. Specific Responsibilities Support the development of reporting solutions using Alteryx, Power BI/ Tableau, and similar tools. Focus on generating actionable insights under the guidance of supervisor, ensuring that outputs meet the needs of stakeholders. Assist in automating reporting processes to improve operational efficiency and support routine business activities. Take responsibility for independently delivering complex tasks or smaller components within larger projects. Ensure tasks are completed on time and meet quality standards, while receiving direction and feedback from the supervisor. Participate in cross-functional teams, offering support in analytics and business intelligence. Help gather and prepare data, and deliver insights that assist Managers and Senior Managers in shaping solutions and providing recommendations Work on implementing best practices in automation and business intelligence reporting within the team. Ensure consistency and quality in deliverables, adhering to established standards. Contribute to innovation efforts by bringing ideas and assisting in the execution of projects that align with the firm’s goals. Actively engage in promoting a positive and collaborative team environment. Support initiatives led by Managers that reinforce the values and culture of the team. Provide guidance and mentorship to junior team members, helping them develop their skills and align their work with project goals. Assist in the recruitment process and contribute to the smooth onboarding of new team members, ensuring they quickly become effective members of the team. Qualifications 7-9 years (graduates) or 5-7 years (post-graduates) of relevant experience in data analytics, business intelligence, and reporting solutions development, with a strong focus on leveraging tools like Alteryx, Power BI and Tableau. Proficiency in using data visualization tools (e.g., Tableau, Power BI) with a solid understanding of best practices in data-driven reporting. Competence in SQL, with experience in optimizing queries that meet project-specific needs. Prior experience working in the Finance function or a basic understanding of finance function fundamentals is preferred Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics. Strong problem-solving skills with the ability to develop innovative solutions for complex data analytics challenges and contribute to the continuous improvement of reporting processes. Understanding of data structures, algorithms, and basic programming principles, with the ability to apply these in the context of data analytics and reporting solutions. Demonstrated ability to contribute to the development and deployment of reporting solutions and data analytics products that enhance business intelligence and support decision-making Strong interpersonal and communication skills, with the ability to collaborate effectively with team members and articulate technical aspects of data solutions and automation techniques to colleagues. Demonstrated curiosity, proactivity, and critical thinking, with a commitment to learning about emerging trends in data analytics and AI, and applying these insights to improve project outcomes. Experience working in an agile environment, with the ability to handle changing priorities and contribute effectively to project tasks in a fast-paced setting. Ability to collaborate with stakeholders within a department or practice area, across different offices and regions, ensuring that analytics solutions are aligned with the specific business needs of the teams involved. Good to have a working knowledge of Python, particularly in automating reporting processes and data processing tasks and experience in implementing straightforward AI models for specific tasks using tools like ChatGPT.

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team At ExxonMobil's Technology and Engineering Company as a planning and scheduling optimization engineer. Become part of an interdisciplinary team to develop, deploy and sustain planning and scheduling applications for the global Refining and Chemicals businesses. In this role you will hone your skills in one or more manufacturing and supply logistics planning and scheduling optimization technologies. You will work to apply optimization and simulation utilizing commercial and proprietary modeling approaches, contribute to R&D initiatives and develop next generation solution techniques focused on value generation. What you will do Develop, deploy, and commission offline optimization applications Provide specialist application consulting and technical support to affiliates worldwide for new and deployed applications, including model troubleshooting and assistance with model convergence, model and economic information updates, and interpreting optimization Provide technical leadership through technical training, work process reviews and best practice implementations Closely work with manufacturing sites, process engineering, business stakeholders & business support functions to identify new opportunities, define the scope, cost, benefits and project schedule for new as well as revamped applications Support R&D activities in modeling, offline optimization and overlapping technologies Position could require 5-10% travel (domestic and/or international) About You Skills and Qualifications Bachelor’s Degree in Data Analytics, Data Science, Operations Research, Computer Science, Math, or related fields or MS in an engineering discipline (Chemical Engineering or Chemistry only) will be considered & are encouraged to apply Minimum 3 years of experience required in with commercial data science/econometrics/time series forecasting/supply chain analytics Industrial experience in Planning and/or Scheduling optimization Experience in hydrocarbon processing or supply chain optimization, ideally within Refining or PetroChemicals organisations. Preference given to those with experience in commercial modeling / optimization platforms such as AspenTech PIMS, AspenTech ORION / APS, AIMMS, Spiral CrudeSuite, Spiral Plan and Schedule etc. Advanced MS Excel Macro development, Python, MS SQL, Javascript/JSON, API programming. Preferred Qualifications / Experience Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence Demonstrations of leadership and mentoring abilities Understanding of key economic decisions in hydrocarbon processing supply chain is a plus Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following: Complete key aspects of client service projects from planning to completion. Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships. Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals. Qualifications: Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. 4+ years’ of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions. Working knowledge of: Model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017). Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.). Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.). Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking. Technical knowledge about data processing, data storage, and data visualization. A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions. Write and present to clients clear and concise reports and presentations containing meaningful recommendations. Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables and knowledge transfer. Manages engagement to ensure quality and is delivered within budget. Engagements are frequently conducted remotely. This position requires travel up to 30%. Additional skills desired: Solid analytical background and knowledge of econometrics. Knowledge of risk ratings, risk rating /scorecard methodology, model governance, model development, CECL, DFAST, CCAR and capital allocation methodology would be a plus. Experience with statistical packages such as SAS, Matlab, Stata, Python, and R. Experience with database management, such as SQL. Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView. Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM). We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe Horwath IT Services Private Ltd. is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge. Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 12+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Join us as a Desk Strategy Associate we're looking for someone with an economics background to join our Trading Flow Sales business you'll be developing strategies to enhance trading or sales opportunities for the business This is a high profile role that offers considerable exposure as we'll as the opportunity to make a significant impact we're offering this role at associate level What you'll do This key role will see you building economic forecasting models and performing statistical analysis of economic data using time series techniques. As such, you'll be analysing market related data, trends and events, and formulating trade ideas or investment opportunities. you'll also be: Assisting with internal and external client requests Tracking macroeconomic data releases and drafting global economic insights for indicators Conducting macroeconomic indicator analysis for the relevant teams Ensuring customer satisfaction by delivering your work on time and to the highest quality Managing projects and initiatives to improve processes The skills you'll need To join us in this role, you'll need to hold an MA in Economics or an MSc in Econometrics. you'll have experience in a research oriented role across economies, together with the ability to summarise and analyse complex data and topics. In addition, you'll bring: Working knowledge of databases such as REviews, Matlab and SAS Good communication and presentation skills Knowledge of databases such as Bloomberg, Haver and CEIC Expertise in Microsoft Office applications Hours 45 Job Posting Closing Date: 26/06/2025

Our UK team aspires to build an offshore hub in India to work alongside the UK team. We need an experienced professional to build and lead the practice, with a focus on the modelling elements of MMM. Reporting the Director of the Data Science & Modelling in the India Hub this is an exciting opportunity to set up and shape a market leading MMM unit. We envisage the initial months will be focused on establishing a cohesive team that are set up to work together as a unit, and smoothly with the UK team. There will be a big focus on training and processes to make the partnership work. Over this period, as the team grows, we will start to transition MMM projects across to the India hub, but with dual responsibilities for delivery across both the India hub and UK team. Once established, our ambition is to run a significant proportion of our MMM work out of the India hub, notably for the Data and Modelling elements of the MMM project cycles. The India hub Account Lead (Modelling) will focus on providing best practice modelling to support the delivery of MMM analytics. The Account Lead (Modelling) is responsible for running a team of analysts, overseeing and fronting the modelling processes across a number of clients. The Account Lead (Modelling) is the day to day modelling lead, understanding the various methodologies required, ensuring statistically robust but intuitive outputs are produced, building relationships and capitalizing on opportunities to grow our analytics further. 3 Best Things About The Job You’ll be at the cutting edge of the most advanced analytics in the media industry. Seeing the industry improve and change from the very front. You’ll be working in a close-knit friendly team who are there to support you at every stage of your career. We truly work as a team! You’ll be constantly learning and challenged. No two days will ever be the same, and every day there an opportunity to improve on everything that has gone before. Measures Of Success In 3 months, you would have: Been fully immersed in the team’s modelling approaches, developed a good working relationship with the rest of the modelling team and worked on your first client project In 6 Months, You Would Have Completed your first 1-2 client modelling projects, from modelling building, validation and sign-off including ongoing management with little input from your manager In 12 Months, You Would Have Worked across a number of projects and taken on increasing ownership of the modelling process, actively participating in ongoing improvements of processes and workflows Responsibilities Of The Role Support Account Lead (Modelling)/Director in day to day running of technical aspects of own projects Be responsible for modelling on own projects and begin to take the stakeholder facing elements of projects Take a major role in a building or updating models, ensuring they are statistically robust and intuitive whilst ensuring key modelling questions are answered Ensure our modelling processes are consistent across client projects, with a focus on statistical robustness Design, develop and maintain modelling processes, troubleshooting as required Coach and develop junior team member(s), where applicable, so they maximize their potential What You Will Need At least 4 year’s hands on experience in Market Mix Modelling, with rich and complete data sets Degree or degree-level understanding of Economics, Math’s, Stats, Sciences or another numerical subject Experience in modelling projects for time series econometrics in the media or marketing industry - strong Market Mix Modelling technical understanding and experience is required An analytical mindset, able to approach issues and challenges from a variety of angles Highly numerate, with strong mathematical acumen Great communication skills Ability to priorities Advanced Excel user Strong knowledge of common modelling packages, Excel, PowerPoint, R or other programming language requisitionid:42335 Show more Show less

About This Role About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. About Aladdin Financial Engineering (AFE) Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline – master’s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Company Overview Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 59 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We are passionate about achieving results for our clients (our public clients have historically outperformed the stock market 4:1). We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Department Overview The Reporting and Analytics CoE is an integral part of Bain’s global PPK group (Product, Practice and Knowledge). The team is responsible for bringing various functional reporting pieces under one umbrella to provide integrated and centralized reporting to the firm leadership on various aspects of the firm performance. Position Summary PPK Reporting & Analytics CoE has experienced strong growth as an internal business intelligence and analytics business over the past five years. Given the expansion of the team, we are looking for a Senior Specialist to join our Global Financial Planning and Analysis teamlet to help drive its analytical capabilities to full potential over the next phase. Specific Responsibilities Support the development of reporting solutions using Alteryx, Power BI/ Tableau, and similar tools. Focus on generating actionable insights under the guidance of supervisor, ensuring that outputs meet the needs of stakeholders. Assist in automating reporting processes to improve operational efficiency and support routine business activities. Take responsibility for independently delivering complex tasks or smaller components within larger projects. Ensure tasks are completed on time and meet quality standards, while receiving direction and feedback from the supervisor. Participate in cross-functional teams, offering support in analytics and business intelligence. Help gather and prepare data, and deliver insights that assist Managers and Senior Managers in shaping solutions and providing recommendations Work on implementing best practices in automation and business intelligence reporting within the team. Ensure consistency and quality in deliverables, adhering to established standards. Contribute to innovation efforts by bringing ideas and assisting in the execution of projects that align with the firm’s goals. Actively engage in promoting a positive and collaborative team environment. Support initiatives led by Managers that reinforce the values and culture of the team. Provide guidance and mentorship to junior team members, helping them develop their skills and align their work with project goals. Assist in the recruitment process and contribute to the smooth onboarding of new team members, ensuring they quickly become effective members of the team. Qualifications 7-9 years (graduates) or 5-7 years (post-graduates) of relevant experience in data analytics, business intelligence, and reporting solutions development, with a strong focus on leveraging tools like Alteryx, Power BI and Tableau. Proficiency in using data visualization tools (e.g., Tableau, Power BI) with a solid understanding of best practices in data-driven reporting. Competence in SQL, with experience in optimizing queries that meet project-specific needs. Prior experience working in the Finance function or a basic understanding of finance function fundamentals is preferred Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics. Strong problem-solving skills with the ability to develop innovative solutions for complex data analytics challenges and contribute to the continuous improvement of reporting processes. Understanding of data structures, algorithms, and basic programming principles, with the ability to apply these in the context of data analytics and reporting solutions. Demonstrated ability to contribute to the development and deployment of reporting solutions and data analytics products that enhance business intelligence and support decision-making Strong interpersonal and communication skills, with the ability to collaborate effectively with team members and articulate technical aspects of data solutions and automation techniques to colleagues. Demonstrated curiosity, proactivity, and critical thinking, with a commitment to learning about emerging trends in data analytics and AI, and applying these insights to improve project outcomes. Experience working in an agile environment, with the ability to handle changing priorities and contribute effectively to project tasks in a fast-paced setting. Ability to collaborate with stakeholders within a department or practice area, across different offices and regions, ensuring that analytics solutions are aligned with the specific business needs of the teams involved. Good to have a working knowledge of Python, particularly in automating reporting processes and data processing tasks and experience in implementing straightforward AI models for specific tasks using tools like ChatGPT. Show more Show less

About This Role About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. About Aladdin Financial Engineering (AFE) Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a solid foundation in basic quantitative techniques and knowledge of model governance practices. They should also have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. Strong communication and organizational skills are quite valuable to this role. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Coordinate with and navigate through multiple teams and stakeholders while managing timelines Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualifications 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Degree in a quantitative discipline – master’s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A solid foundation in quantitative techniques Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Additional Job Description Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Show more Show less

Location: Hyderabad (In-Office) Faculty Name: Professor Gurvinder Sandhu Academic Area: Accounting The ISB Research Associate Program: ISB hosts a cutting-edge 2-year Research Associate Program within its Accounting area. This is akin to pre-doctoral programs run by many top research universities (especially in the U.S.), where students work alongside professors and typically pursue a Ph.D. in Business Administration (with a specialization in accounting) after that. This is a unique setting where candidates can attend Ph.D. courses on research methods (such as Panel Data Econometrics and Causal Inference) as well as seminar courses focusing on empirical archival research in Accounting, Auditing, and Corporate Finance. We invite applications from motivated individuals with a solid analytical academic background to work as a full-time Research Associate at ISB. Research Associates (RA) are expected to work for about two years and generally apply for the Ph.D. programs in their second year of the RA program. Research Summary of the Faculty Professor Gurvinder Sandhu Gurvinder Sandhu is an Assistant Professor of Accounting at the Indian School of Business (ISB). He holds a PhD in Management Science from the University of Texas at Dallas. He also holds an MBA from Melbourne Business School (University of Melbourne) and a B. Com from Kurukshetra University. Professor Sandhu’s research explores financial institutions, credit markets, and firms’ voluntary disclosures. His empirical work looks at what forces shape banks’ loan portfolios. He has developed a bank diversification measure that captures how diversified banks are in their commercial loan portfolio. His research has been accepted at various academic conferences, including the American Accounting Association and the European Accounting Association. His teaching interests lie in financial accounting, specifically financial statement analysis and introductory financial accounting. View Profile About ISB The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership. The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous. Roles and Responsibilities: Work Description Work with the faculty on research projects of common interest. The candidate will assist the professor in his ongoing. research, including support through data collection, data cleaning, literature review, and preliminary data analysis. You will be exposed to creating and handling big data sets, working extensively in statistical software/programming languages (such as Python, Stata, R, and SAS), and learning state-of-the-art research design methodologies (e.g., panel data regressions with fixed effects). This position is a good fit for a candidate looking to pursue a PhD in Accounting or excel in research (post-doctoral). Required Skills and Qualifications: Master’s degree in economics / finance / Statistics / Econometrics / Mathematics / Physics or engineering (electrical, signal processing, computer science), or a 4-year bachelor’s degree in mathematics/physics/economics from a premier institute. Strong background in Mathematics. Python/STATA/R/SAS coding skills are essential. The ideal candidate should be proficient in at least one of these languages/software. Knowledge of writing API queries/Web-Scraping algorithms, Machine Learning/AI, or textual analysis is an added advantage. Our Commitment towards you ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person’s analytical skills. Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre and a comprehensive health and personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations. If this role is your true calling, please complete the form using the link below. If you have any questions, please contact careers_ra_fd@isb.edu for any queries. Kindly do not send your resume through email id, as it becomes difficult to keep track. Use the link given below only to apply. https://www.cognitoforms.com/IndianSchoolOfBusiness9/FDOHiringForm We will connect with you shortly. Hyderabad Campus Indian School of Business Gachibowli, Hyderabad - 500111 Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST 040 23187777 0172 4591800 careers_hyderabad@isb.edu careers_mohali@isb.edu careers_ra@isb.edu Mohali Campus Indian School of Business Knowledge City Sector 81, SAS Nagar ,Mohali - 140 306

India Research Investment Bank Job Reference # 320357BR City Hyderabad Job Type Full Time Your role Do you have a passion for markets and to learn something new every day? Do you want to dive deeply into data and then step back to assess the big picture? We're looking for strategist to: analyze macroeconomic trend to have implications on the larger economy build and maintain databases and models to evaluate vast amounts of information provide economic views based on rigorous analysis of data trends comfortable with econometric packages like R, Eviews etc and market data packages including Bloomberg, CEIC, CMIE etc write clearly and explain complicated thoughts work collaboratively in a team setting and take leadership of projects Your core responsibilities set up, maintain and build databases set up, maintain and build chart libraries maintain, create, analyze and interpret macro and financial econometric models track macro-economic and financial data and their impact on global markets. provide end to end support for publications work under the guidance of senior members of the team based out of different locations Your team You’ll be working in Hyderabad, India, and collaborating with strategists in the Global Strategy team based in London, New York and Singapore. The team’s purview is as broad as it can be in financial markets – both global and across all asset classes. As such it represents one of the best learning opportunities available in finance. Your expertise excellent Microsoft excel skills 1-3 years of work experience in econometrics/statistical analysis coding experience in Python is must. Experience in R, Eviews or Matlab also counts. academic background in quantitative finance/financial engineering preferred working knowledge of market data platforms e.g. Bloomberg, Datastream, Macrobond, Factset, Haver strong understanding of economics, market fundamentals and its drivers About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

JD 1: SIS – DQM- Data Quality team (C09) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Good exposure to SAS or SQL Good in MS Excel Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge Data definitions and data discovery Data Catalog , Data Lineage and Data Dictionaries (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 1 to 2 years of hands on experience in delivering data quality solutions - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Company Description As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner. With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us. Describe The Role Day to day responsibilities will include: Conduct asset allocation and manager evaluation research and creating bespoke client portfolios Undertake bespoke requests for data analysis; Build dashboards for data visualization (Python Dash) Handle data collation, cleansing and analysis (SQL, Python) Create new databases using data from different sources, and set up infrastructure for their maintenance; Clean and manipulate data, build models and produce automated reports using Python; Use statistical modelling and Machine Learning to address quantitative problems (Python) Conduct and deliver top notch research projects with quantitative applications to fundamental strategies. Preferred Skill Sets 2+ years of experience of RDBMS database design, preferably on MS SQL Server 2+ years of Python development experience. Advanced skills with programming using any of Python libraries (pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn) – Must haves (pandas/numpy/statsmodels) Candidate should be capable of manipulating large quantities of data High level of attention to detail and accuracy Working experience on building quantitative models; experience with factor research, portfolio construction, systematic models Academic qualification in Mathematics/Physics/Statistics/Econometrics/Engineering or related field Understanding of company financial statements, accounting and risk analysis would be an added advantage Strong (English) communication skills with proven ability to interact with global clients Pune, India Show more Show less

Job Reference # 320357BR Job Type Full Time Your role Do you have a passion for markets and to learn something new every day? Do you want to dive deeply into data and then step back to assess the big picture? We're looking for strategist to: analyze macroeconomic trend to have implications on the larger economy build and maintain databases and models to evaluate vast amounts of information provide economic views based on rigorous analysis of data trends comfortable with econometric packages like R, Eviews etc and market data packages including Bloomberg, CEIC, CMIE etc write clearly and explain complicated thoughts work collaboratively in a team setting and take leadership of projects Your core responsibilities set up, maintain and build databases set up, maintain and build chart libraries maintain, create, analyze and interpret macro and financial econometric models track macro-economic and financial data and their impact on global markets. provide end to end support for publications work under the guidance of senior members of the team based out of different locations Your team You’ll be working in Hyderabad, India, and collaborating with strategists in the Global Strategy team based in London, New York and Singapore. The team’s purview is as broad as it can be in financial markets – both global and across all asset classes. As such it represents one of the best learning opportunities available in finance. Your expertise excellent Microsoft excel skills 1-3 years of work experience in econometrics/statistical analysis coding experience in Python is must. Experience in R, Eviews or Matlab also counts. academic background in quantitative finance/financial engineering preferred working knowledge of market data platforms e.g. Bloomberg, Datastream, Macrobond, Factset, Haver strong understanding of economics, market fundamentals and its drivers About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Director - Portfolio Operations Delivery What you will do Let’s do this. Let’s change the world. In this vital role the Director, Portfolio Effectiveness and Optimization Results Delivery within the Customer Data & Analytics team is accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Associate Vice President, Portfolio Effectiveness and Optimization and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for PE&O senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Operational Excellence and DeliveryOversee end-to-end delivery of core data and analytics projects ensuring quality, scalability, and operational efficiency, while promoting standard processes in data governance and analytics methodologies Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator ManagementEnsure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee PE&O budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Managerial experience, directly handling people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Qualifications: Relevant data science certifications and Bio/Pharmaceutical industry experience 8+ years of innovative Data Science/Advanced Analytics leadership experience Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modelling and other analytics frameworks/techniques with 10+ years of experience delivering complex analytical projects Minimum 5 years of professional experience in Amazon Web ServicesRedShift, S3, Athena, etc. and industry standard Data Warehousing technologiesSnowflake, Spark, Airflow, etc. Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language; ETL using SQL/shell scripting Experience in successfully completing AI/ML based Next Best Action recommendation engine to optimize against desired objective function(s) Expertise in setting up and measuring randomized controlled trials, cohort studies, and matched, case-control studies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Experience in setting up process for data ingestion, Quality Checks etc. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an analytics-driven culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Partners with business leaders to deliver high-quality predictions that guide strategic decision making Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT and business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

At Hempel, we trust you to shine. If you have the drive to contribute and embrace new challenges you will enjoy great opportunities with us. Right now, we re looking for a Commercial Excellence Specialist to join our global Marine team. As a Commercial Excellence Specialist, you will play a key role in implementing commercial processes and sales excellence activities within the region. This role to be based in Bahrain and reports into Commercial Excellence Manager. You can look for forward to working with a diverse group of ambitious and talented people from many different backgrounds, giving you a unique global network. Here are some key responsibilities to look forward to Support the Global Commercial Excellence team with the standardization of the commercial processes and other key objectives Utilize advanced Excel skills (including pivot tables, lookups, and potentially SQL queries) to manipulate and interpret complex datasets Be involved in several data hygiene processes Drive initiatives from other functions to sales in a structured manner Drive implementation & effective sales tools (CRM & PowerBi) usage Proactively identify and address challenges, working collaboratively to find effective solutions in the commercial arena Engage with ideas on improvements on tools and processes after checking for feedback with intended stakeholders What we re looking for: Graduate in Business OR Econometrics / Data Science or any data heavy discipline Excellent Microsoft office skills especially Excel (Large data set analysis, SQL etc). Experience with project management tools - Miro, Trello, etc preferred Ability to converse fluently in English (verbal and written) Excellent interpersonal skills with ability to interact with, negotiate & drive changes Ability to work in a fast-paced, global, matrix environment Does it sound like a match to you? Click the Apply for position button in the top-right corner and submit your application letter with a CV in English via our recruitment system. Final deadline for applications is 02 Jul 2025. More about Hempel At Hempel, you re welcomed to a global community of 7,500 colleagues around the world. A workplace built on shared trust, mutual respect and support for each other. We re on a mission to double our impact. To succeed, we need bright minds and team players. Which is why, from day one, your input, ideas and initiative are not only welcomed, but expected. In return, you will enjoy great opportunities for development in a growing global company - and be part of the solution by contributing to our global impact. At Hempel, we are committed to everyone feeling safe, valued and treated equally, in an environment where each employee can bring their authentic selves to work. We believe that inclusion is key to innovation and by bringing together the most diverse perspectives and talents, we can achieve great things, together. We are proud to be majority owned by the Hempel Foundation, dedicated to philanthropic activities, with our earnings contributing to a multitude of charitable initiatives every year. It means that when working at Hempel, your hard work and dedication contributes to a greater cause, making your career matter twice. Learn more about Hempel and our commitments on hempel.com/career. Application due 2025-07-02 Seniority Level Mid-Senior level Job Functions Analyst, Project Management, Strategy / Planning Industry Chemicals At Hempel, you re welcomed to a global community of +7000 colleagues around the world. A workplace built on shared trust, mutual respect and support for each other. We re on a mission to double our impact. To succeed, we need bright minds and team players. Which is why, from day one, your input, ideas and initiative are not only welcomed, but expected. In return, you will enjoy great opportunities for development in a growing global company - and be part of the solution by contributing to our global impact. At Hempel, we are committed to everyone feeling safe, valued and treated equally, in an environment where each employee can bring their authentic selves to work. We believe that inclusion is key to innovation and by bringing together the most diverse perspectives and talents, we can achieve great things, together.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Sr Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Sr Data Analyst for Target s Merch Data Analytics team you ll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years exp Qualification B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging