780 Econometrics Jobs - Page 22

Designation: Current Affairs Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Candidates with Economics Background will be preferred. 2. Proficiency in instructional design and delivery methods(content delivery). *Must have Access to digital smartboard* Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

About The Company At Teikametrics, already the leading Marketplace Optimization Platform, we’re building an operating system to optimize every aspect of a retailer's business - from advertising to inventory to pricing. We optimize billions of transactions for thousands of entrepreneurs and brands around the world selling on demand-marketplaces like Amazon, Walmart, and others, with future plans of extending to less traditional marketplaces like FB and Google. The Teikametrics Marketplace Optimization Platform uses proprietary econometrics and machine-learning data models packaged in a simple SaaS interface. We combine our best-in-class technology with coaching and support from our world-class teams based in Boston, MA, Seattle, WA, Bengaluru, India, Tel Aviv, Israel, and Hong Kong, China. We are looking for team members who are values-aligned, make an impact on our mission and thrive in our fast-growing organization. About The Role Teikametrics software engineers develop products that optimize billions of transactions for entrepreneurs and brands around the world. Our mission is to unlock growth for our customers on the most valuable marketplaces. As a Senior Software Engineer at our rapidly growing engineering team in India, you will help deliver on strategic technical products having a direct business impact, while collaborating cross-functionally with multiple teams. You will use your experience with modern cloud and software development practices to build products that improve every step of the seller experience. Leveraging the data-rich features of the eCommerce industry, you will develop products dealing with millions of data points to support the growth of the world’s most scalable eCommerce optimization platform. You lean on your passion for technology to suggest and make improvements to our tech stack and infrastructure. You love to learn, and equally love to share your knowledge with others. You are both a listener and a contributor. You are a great communicator and you take care to understand before making yourself understood. You love trying out new frameworks and libraries. How You'll Spend Your Time Write code architected for scalability and re-use. Have strong opinions on code structure and modularization. Collaborate with product and design to move fast on creating solutions to business problems Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies Who You Are 2-5 years of experience in fast-paced, high-performance software engineering environments BS/MS/Ph.D. in Computer Science, EE, or equivalent Experience with modern Javascript application development, Node server frameworks (e.g. Koa or Express), and Typescript. Python, React or Webpack is a plus Familiarity with cloud computing environments, containers, CI/CD pipelines, best practices in quality, performance, and monitoring applications. Experience in any of the following – web application development, UNIX/Linux environments, distributed parallel systems, eCommerce applications Can contribute best practices and architectural leadership to our software development efforts Ability to communicate ideas effectively to achieve the right outcome for their team and customers Experience creating designs and participating in design reviews of related software A growth mindset and learning attitude – looking to constantly improve their skills, their knowledge of software, and their ability to get things done WE'VE GOT YOU COVERED Every Teikametrics employee is eligible for company equity Remote Work – flexibility to work from home or from our offices + remote working allowance Broadband reimbursement Group Medical Insurance – Coverage of INR 7,50,000 per annum for a family Crèche benefit Training and development allowance Press Reference About Teika Teikametrics’ Marketplace Optimization Platform, Flywheel 2.0, Adds AI-Powered Automation to Maximize Advertising Performance Across Marketplaces The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description: The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions – Preferred Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Senior Data Scientist Location: Chennai Duration: 12 Months Work Type: Onsite Position Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approach to design solution The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial. The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning Techniques They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction Good knowledge of model development/data engineering experience using Python and R He / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholders Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations. Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add Technical Experience (using Python):o Hands on experience in developing models (end to end) Logistic regression Clustering  Decision Tree Random Forest Support Vector Machine Naïve Bayes Gradient Boosting Machine Deep learning Natural Language Processingo Tools Python (mandatory), R (preferred) Experience processing large amount of data using BigData technologies is preferred Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus Functional/Domain Experience:o Good exposure to Insurance domain Certifications/Analytics competitionso Recognized certifications in analytics technologies o Participations/solving Kaggle competitions Qualifications Educational Qualification:o Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions Relevant Experience: o 8+ years of hands on experience in executing analytics projects Show more Show less

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done ✅ We are responsible for collaborative work management products including Microsoft Planner, Project, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Senior Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will master a broad area of research and understand applicable research techniques in NLP, modern LLMs, Agentic systems & multi-agent runtimes. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will design, build, experiment and optimize prompt libraries, curate golden eval sets to deliver high quality, high performance responsible AI features. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, at multiple points in the product cycle from ideation to shipping. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Sr. Business Analyst About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As a Business Analyst - Strategy , you will work at the intersection of corporate, customer, MA, workforce, and operational strategy. You will work alongside Junglees leadership team to help them make decisions and implement enhancements to Junglee s organizations strategy, productivity, performance, and long-term profitability. You will have the opportunity to exercise strong analytical skills, solve complex business problems, and communicate your findings to executive audiences. You will work both independently and collaboratively with a team to analyze and distill information to hypothesize, test, and develop recommendations. Job Location Gurgaon Key Responsibilities Use primary and secondary research (i. e. consumer research, desk research, expert calls) to support the development and go-to-market for Junglee s near- and long-term strategy Synthesize data and research findings into insightful recommendations for the business, operations and leadership teams Take ownership of a wide range of data and analytical concepts and methodologies, including: Market sizing Competitive analysis Customer needs analysis / primary research Portfolio review (e. g. where to invest, where to divest) Forecasting / econometrics Serve as an internal research resource for the leadership team, handling ad-hoc requests for quick analyses and Excel models Own and report company-wide KPIs across the business functions Work cross-functionally across the organization, partnering with product, marketing, business insights and other teams on a variety of growth-focused projects Partner with the leadership and executive team to develop Junglee thought leadership. Qualifications Skills Required 1+ years of experience in an analytical and strategic role that requires synthesizing research and analysis into recommendations; candidates with experience in strategy and/or business operations at fast growing Series A/B companies are encouraged to apply Experience building business models and analyzing data in Excel/Google Sheets. (proficiency in SQL is also preferred) A strong writer and presenter who s equally at home writing a brief or creating a slide deck. You have a knack for finding creative or unusual research/data sources to solve a problem or answer a question, as you won t have many internal research databases/dashboards at your disposal You re intellectually curious and incredibly detail-oriented, with a penchant for over delivering on tight deadlines You can balance speed with thoroughness to get to high fidelity analysis quickly You thrive with the ambiguity and responsibility required in high growth startups` Be a part of Junglee Games to: Value Customers Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee .

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done ✅ We are responsible for collaborative work management products including Microsoft Planner, Project, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Senior Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will master a broad area of research and understand applicable research techniques in NLP, modern LLMs, Agentic systems & multi-agent runtimes. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will design, build, experiment and optimize prompt libraries, curate golden eval sets to deliver high quality, high performance responsible AI features. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, at multiple points in the product cycle from ideation to shipping. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead – Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Analyst- Decision Sciences Principal responsibilities Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Provide written reports detailing the results of validations highlighting issues identified during the validation. Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues. Communicate technical model related information and results to Model Owners and Model Users through the course of a validation. Contribute to management, regulatory, and external confidence in all models used across the group. Deliver, high quality, timely validation reports that add value to the business. Requirements Worked on regulation in particular with FRTB, performed Bank wide plus desk level analysis to assess the impact of new regulation and support in quantitative impact study (QIS). Ensure that the FRTB IMA models meet their stated objectives by building robust risk factor eligibility test tools, NMRF SES and IMA ESF methodologies (expected shortfall methodologies) Have been involved in development and periodic update of proto-type models with special attention to the model related to Market risk VaR. Involved in creation of strategic tools for VaR/RNIV/Add-on/PnL Adjustment/Back testing using python to facilitate integration with FRTB implementation and offline calculation of risk numbers. Candidate should have experience in developing or validating Value at risk models using Greek based or Full Revaluation, PFE modeling for XVA, Incremental Risk charge (IRC) models etc Candidate should have theoretical understanding in Pricing- Derivatives/ Product Control and hedging models with focus on Interest rate, Equity, FX products Candidate should have experience in Stochastic Volatility modeling, calibration etc Minimum 1-5 years of experience of model validation/development experience in Risk Management in Market risk domain Must have background in financial mathematics knowledge such as stochastic calculus, numerical methods, probability theory, regression, time series analysis. Experience with some statistical modelling software / programming language e.g. Python, R, Matlab, C++, VBA. Experience of presenting recommendations to Senior Management. Experience of conducting independent model reviews. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

1) Prepare and deliver lectures to undergraduate and/or graduate students on topics such as econometrics, price theory, and macroeconomics. 2) Prepare course materials such as syllabus, homework assignments, and handouts. Click here for Careers that match your Personality Type 3) Evaluate and grade students' class work, assignments, and papers. 4) Compile, administer, and grade examinations, or assign this work to others. 5) Keep abreast of developments in their field by reading current literature, talking with colleagues, and participating in professional conferences. Job Type: Part-time Pay: ₹150.00 - ₹200.00 per hour Schedule: Day shift Ability to commute/relocate: Dadar, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Teaching: 1 year (Preferred) Making lesson plans: 1 year (Preferred) total work: 1 year (Preferred) Language: English (Preferred)

Senior Applied Scientist Hyderabad, Telangana, India Date posted Jun 09, 2025 Job number 1826863 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done ✅ We are responsible for collaborative work management products including Microsoft Planner, Project, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Senior Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, at multiple points in the product cycle from ideation to shipping. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. Responsibilities You will master a broad area of research and understand applicable research techniques in NLP, modern LLMs, Agentic systems & multi-agent runtimes. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will design, build, experiment and optimize prompt libraries, curate golden eval sets to deliver high quality, high performance responsible AI features. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

JD 1: SIS – DQM- NAM DQ team (C11) About us: Analytics Information management (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 across globe in retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc Metrics 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 country 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 and VBA Preferred - Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance including identification of critical data elements, measuring and monitoring of CDE’s Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI’s design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy Measuring effectiveness of different DQ roll out programs (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/project management skills Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment Educational and Experience: MBA / Master degree in Economics / Statistics / 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 5 to 8 years of hands on experience in delivering data quality solutions, with at least 2 year’s experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Description Amazon Payment team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team we are looking for a BIE specifically for supporting Japan Payment Products. We are looking for a Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. Key job responsibilities Core Responsibilities Includes But Not Restricted To Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling Evolve organization wide Self-Service platforms Building metrics to analyze key inputs to forecasting systems Leading complex analytical deep dives (Segmentation, A/B testing) Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Basic Qualifications Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions 5+ years work experience in analytics field and working with relational Databases Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets Fluency in SQL, and deep understanding of ETL is a must. Preferred Qualifications Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight Experience working with redshift, Cradle or other AWS tools is a plus Hands On experience with Python, R is a plus Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2945836 Show more Show less

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.

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