363 Econometrics Jobs - Page 11

Overall purpose of role The role holder will work both independently and as part of a team to provide expert analysis and commentary on the bank s wholesale credit and counterparty credit risk profile and internal capital assessment. This is an exciting opportunity for someone who wants to work with, Treasury and Capital Management, Trading and Banking teams to understand the risk on wholesale credit risk (WCR), derivative and financing transactions. The areas of focus are: Defining the future state vision for Risk processes and strategic transformation within Risk. Team lead and accountable for the capital adequacy assessments carried out for WCR ICAAPs including the execution, model ownership, outcome analysis and presentation. Making sound risk assessment decisions and comfortably conveying technical analysis to senior stakeholders. Create a control exemplary process and drive improvements and innovation. Transformation of risk analytics processes Team will comprise of capital assessment and stress testing SMEs across Mumbai and London. Key Accountabilities Own and manage end-to-end process to deliver internal capital assessment results for WCR trading book (CCR or Counterparty Credit Risk) and banking book, including computation, review, challenge of results and explanation of movements. Lead the enhancement of analysis generated to support the output of economic capital and Pillar 2 Add-on results. Prepare papers required to support the approvals and governance, including materials for Risk and Treasury Committees. Responsible for independently obtaining approval from Internal model Validation Unit (IVU) for generated results. Identify and/or quantify limitations of existing model suite and propose mitigation, improvements or new model development requirements including model documentation and annual model reviews. Stakeholder Management and Leadership Engage and escalate appropriate issues to local Senior Risk Management. Engage with key stakeholders across Risk, Finance, Treasury and Tech to manage and maintain relationships Share cross-functional experience with a wider variety of stakeholders to achieve better execution of results and improve strategic business decision Be the point of contact as the SME in capital assessments Person Specification Self-motivated, strong team player and experienced team leader Able to priorities and adapt to changing short term requirements, without impacting long term commitments Strong appreciation of the control environment Effective, clear communication skills and a highly analytical mind with a strong attention to detail Essential Skills/Basic Qualifications: Strong track record in risk management (10 years +) Detailed understanding of CCR and WCR models (EEPE, PFE, RWA, LGD, EAD and Economic Capital) and capital calculations; Detailed knowledge of Financial Markets, Wholesale Credit and Derivative Products and strong analytical skills with a high attention to detail Experience in dealing with large and complex data structures and stress testing methodologies Desirable skills/Preferred Qualifications: Related professional qualifications (e.g. FRM, CFA, CQF) Bachelor s degree in Finance, Engineering or a Mathematical or Quantitative related field Regulatory knowledge (CRR, PRA, EBA) Knowledge of econometrics methods used in risk modelling Purpose of the role To support the Risk Function in delivering it s objective of safeguarding the banks financial and operational stability by proactively identifying, assessing, mitigating, and monitoring risks across various business units and activities. Accountabilities Development of strategic direction for risk, including the implementation of up-to-date methodologies and processes. Management of the risk department, including oversight of risk colleagues and their performance, implementation of risk priorities and objectives, oversight of department efficiency and effectiveness. Relationship management of risk stakeholders, including identifying relevant stakeholders, and maintenance of the quality of external third-party services. Adherence to the Risk policy, standards and frameworks, and maintaining a robust control environment. Director Expectations To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide.. They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives. Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function. Escalates breaches of policies / procedure appropriately. Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence. Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate. Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives. Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives. Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations. Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area. Negotiate with and influence stakeholders at a senior level both internally and externally. Act as principal contact point for key clients and counterparts in other functions/ businesses divisions. Mandated as a spokesperson for the function and business division. All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client’s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients’ particular business information need(s). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client’s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client’s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What You’ll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Show more Show less

India Intern, Content, Design & Data Support Organization International Federation of Red Cross and Red Crescent Societies Posted 19 May 2025 Closing date 2 Jun 2025 Organizational Context The IFRC is led by its Secretary General, and has its headquarters in Geneva, Switzerland. The headquarters is organized into three main divisions: (i) National Society Development and Operations Coordination; (ii) Global Relations, Humanitarian Diplomacy and Digitalization; and (iii) Management Policy, Strategy and Corporate Services. The IFRC has five regional offices in Africa, Asia Pacific, Middle East and North Africa, Europe, and the Americas. The IFRC also has country cluster delegations and country delegations throughout the world. Together, the Geneva headquarters and the field structure (regional, cluster and country) comprise the IFRC Secretariat. The Global Strategic Planning and Reporting Centre is part of the Strategic Planning Department, which is part of the Office of the Secretary General and aims to bring the IFRC planning process to the next level, with a greater focus on membership-wide planning, monitoring and reporting, high-level objectives and contextual analysis. It also supports the IFRC leadership to develop and foster new proposals and initiatives to promote the IFRC network. The Strategic Planning Department oversees a country-level planning process called ‘Unified Planning’, bringing together ongoing emergency operations and longer-term work, and based on a Federation-wide planning approach. Federation-wide country plans are elaborated at country level in the four IFRC official languages, and with formats suiting the needs of the relevant National Society. Internal Federation-wide reporting on the country plans follows IFRC standard reporting timeframes, i.e. a mid-year report (January to June) and an annual report (January to December). These plans and reports are accessible to the IFRC network only. For donors and the general public, more standard and coherent versions of the plans and reports are produced centrally and contain the needed information to attract funding at country-level. In this connection, the Global Strategic Planning and Reporting Centre (also referred to as the Global Reporting Centre) was established in late 2023, in New Delhi, India to produce the IFRC network country plans and standard narrative reports against the plans. This position is located in New Delhi, India. Job Purpose As part of the Global Strategic Planning and Reporting Centre in New Delhi, the primary purpose of the internship is to support reporting content, data visualization and design work of the IFRC network country plans and reports. The secondary purposes of the internship cover a wide spectrum of regular and ad hoc duties including (and not limited to) production tracking and administrative support. Job Duties And Responsibilities Depending on the personal skills set of the successful candidate, the intern will be required to undertake some or all of the following complementary work: Provide research support in reference to documents produced by the centre, working in close consultation and coordination with the centre’s lead or reporting officers. This includes updating sources and research on the joint situational analysis and thematic analyses in the documents. Support reporting officers in ensuring that plans and reports reflect IFRC network policies, strategies and approaches, including by inserting relevant hyperlinks in documents at finalization phase. Provide copy-editing and proofreading support to the reporting officers. Support extraction and consolidation of data (people reached/implementation indicators and financial data) for the plans and reports, in close coordination with the data and design support officer. Prepare summaries and data visualizations to provide clear data overviews, accurately managing and presenting overlaps in data. Provide design and layout support for plans, reports and other materials produced by the centre, in close coordination and consultation with the centre’s Design Officer. The support includes adjusting the layout and style of plans and reports to meet the standards set by the IFRC. Support tracking of the production processes of the centre, upon guidance provided by the centre’s lead. Undertake a wide spectrum of regular and ad hoc duties including (and not limited to) administrative support, all of which contribute towards the efficient running of the centre. Education University degree/advanced degree in one or more of the following: political science, journalism, communications, sociology, anthropology, and any related humanities degree; graphic design or art school, with a specialization in design and branding; data science, information management, econometrics or statistics Experience Understanding of/experience in drafting and editing plans, reports, articles and related publications A good understanding of data management systems, with knowledge of reading and extracting data including from financial reports for data analysis and visualization Understanding of/experience in graphic design and layout Knowledge, Skills And Languages Preferred technical skills: Demonstrated focus on quality and standards Advanced skills in computer software (Windows, word processing, PowerPoint, spreadsheets) Proficiency/proven experience with data visualization tools, particularly Power BI and Tableau Advanced technical competence in layout software Familiar with the Red Cross and Red Crescent Movement and/or international humanitarian and development work Language skills: Excellent written and oral communication, organizational and presentation skills in English, with other IFRC languages (French, Spanish or Arabic) being an advantage. Flexibility and adaptability: The successful candidate should possess a high level of flexibility and adaptability, as well as a willingness to learn, when carrying out assigned tasks for the Global Strategic Planning and Reporting Centre Modalities for the Internship The intern will report to the IFRC Lead, Global Strategic Planning and Reporting Centre, in close coordination with the Design Officer, Reporting Officers, and Data and Design Support officer. The time period foreseen is 3 months, with potential extension for a further subject to a performance appraisal. The internship will be carried out completely at the IFRC office in New Delhi OR through a mix of presence in the IFRC office in New Delhi and remotely through digital communication means. Competencies, Values and Comments Core competencies: Communications, Collaboration & Teamwork, Judgement & Decision, National Society & Customer Relations, Creativity & Innovation, Building Trust. Values: Respect for Diversity, Integrity, Professionalism, Accountability How to apply The position will be based at New Delhi, India. Applicants are requested to submit their comprehensive CV highlighting relevant experience accompanied by motivation letter at IFRC job detail | IFRC Last date for sending application is 02nd June,2025 Position open to Indian Nationals Only. Only short-listed candidates will be contacted. IFRC is an equal opportunity employer. Job details Country India City NEW DELHI Source International Federation of Red Cross and Red Crescent Societies Type Internship Career category Information Management Years of experience 0-2 years Share Share this on Facebook Share this on X Post this on LinkedIn Show more Show less

Company Description CrystalVoxx Global LLP is a healthcare econometrics company specializing in Medical Billing and Coding Services for individual and group practices. With a focus on Provider Insurance Credentialing, Claims Management, and Revenue Cycle optimization, CrystalVoxx helps practices improve their financial performance. The company's process workflow, analytics, and technology ensure no money is left uncollected, with 14 years of experience in healthcare caretaking across various specialties. Role Description This is a full-time on-site role for an AR Trainee located in Nagpur. The AR Trainee will be responsible for tasks related to Accounts Receivable including debt collection, invoicing, financial analysis, and communication with stakeholders. The role involves ensuring timely payment collection and maintaining accurate financial records. Qualifications Effective Communication skills Attention to detail and strong organizational skills Proficiency in MS Excel and other financial software Show more Show less

ARCADIS is looking for Azure Data Engineer with a passion to drive and execute Digital to the core of everything we do. We firmly believe in “Everything Digital, Digital Everything”. We are transforming, we are reimagining the industry and we are reimagining how communities and nations can help becoming more sustainable places to live for today and future generations. Technology is the core and integral part of what we do, all the way for empowering Arcadians to harnessing power of data and AI/ML for sensors, IIOT and Advanced Drones, the technology teams are Dreaming Big and Delivering on future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers across multiple locations in North America. Role accountabilities: Possess excellent design and coding skills and a zeal for owning the complete SDLC of building applications in a DevOps environment You are excited about working with Azure Data Platform challenges while building the next wave of software engineering solutions Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform Leading the craftsmanship, security, availability, resilience, and scalability of your solutions Very strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries. Strong experience in T-SQL, SSIS, SSAS, SSRS Azure Data Factory Azure Data Lake Store Azure Data Lake Analytics (Good to have, not mandatory) Azure SQL DB Azure SQL DW Azure Analysis Services, DAX Azure Data Bricks with Python/Scala Experience in building end to end solution using Azure data analytics platform. Experience in building generic framework solution which can be reused for upcoming similar use cases. Experience in building Azure data analytics solutions with DevOps (CI/CD) approach. Experience in using TFS, Azure Repos. Mentor peers to gain expertise on Azure data platform solutions skills. Experience in developing, maintaining, publishing, and supporting dashboards using Power BI. Strong experience in publishing dashboards to Power BI service, using Power BI gateways, Power BI Report Server & Power BI Embedded Qualifications & Experience: Basic Qualifications: Bachelor in Engineering/Math/Statistics/Econometrics or related discipline Should have 3-8 years of experience in MSBI with relevant hands-on experience in Azure Data Platform (must) for a minimum of 3 years. Preferred Qualifications: Master’s or Minor in Computer Science 3+ years of experience developing Data Engineering solutions Architecture, design experience with good knowledge of data model design & their implementation. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. Show more Show less

The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. 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 Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 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. Preferred Qualifications Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc.. #M365CORE 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

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client’s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients’ particular business information need(s). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client’s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client’s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What You’ll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Show more Show less

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,500 employees working in 30 countries around the world are dedicated to servicing investment solutions for our clients in more than 155 countries. For more than 75 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the Data Scientist in FTT Digital Technology group responsible for? As a Data Scientist, you will play a critical role in leveraging data analytics to tackle business challenges and drive insights. Your responsibilities will include working on machine learning models and applying advanced analytics techniques to solve problems and support decision-making. You will be involved in various aspects of the data pipeline, from collection to analysis, and will contribute to the development of data-driven solutions. You’ll work under the guidance of senior team members, gaining hands-on experience and growing your skills in both traditional and innovative data science methodologies What are the ongoing responsibilities of a Data Scientist? Data Collection And Preprocessing Implement data collection strategies to gather relevant data from different sources. Clean, preprocess, and validate data to ensure accuracy and reliability for subsequent analysis. Assist in maintaining and enhancing data pipelines in collaboration with data engineering teams. Statistical Analysis Perform exploratory data analysis to identify trends, patterns, and insights within datasets. Apply basic statistical techniques to test hypotheses, validate assumptions, and draw conclusions from data. Machine Learning And AI Model Development Develop and optimize machine learning models to address business problems and improve processes. Explore and apply Generative AI techniques under the supervision of senior team members to contribute to innovative solutions. Assist in model evaluation, validation, and deployment, monitoring performance and making adjustments as needed. Understanding Human Behavior For AI Applications Analyze data related to human behavior to help develop models that predict and influence outcomes. Work with domain experts to incorporate insights into AI models, enhancing their relevance and accuracy. Data Engineering Collaboration Collaborate with data engineering teams to ensure smooth integration of models into existing data systems. Contribute to designing and implementing scalable data storage solutions. Cross-functional Collaboration Work with product management, marketing, and business stakeholders to understand requirements and provide data-driven insights. Communicate analytical concepts and insights effectively to non-technical stakeholders through reports and visualizations. Continuous Learning And Innovation Stay updated on the latest developments in data science, machine learning, and AI technologies. Experiment with new methodologies and tools to enhance project outcomes and expand your skill set. What ideal qualifications, skills & experience would help someone to be Successful? Master’s or Bachelor’s degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering, or related disciplines 2-4 years of experience in data science, predictive modeling, and machine learning. Proficiency in Python, R, or SQL, with hands-on experience in data analysis and model development. Basic knowledge of Generative AI models and their applications Ability to translate business problems into analytical tasks. Skill in explaining statistical and machine learning techniques to business partners. Experience in creating data-driven stories and insights. Proficiency in handling large datasets, including data cleansing, manipulation, and mining. Capability to tackle ambiguous challenges with a problem-solving mindset. Curiosity and willingness to learn independently. Strong written and verbal communication skills. Effective organizational and planning abilities Ability to work well under pressure and adapt in a dynamic environment. Team-oriented approach with a capacity to work independently when needed. Strong interpersonal skills and the ability to build relationships with colleagues and stakeholders Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

Location Name: Pune Corporate Office - HO Job Purpose “This position is open with Bajaj Finance ltd.” Duties And Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications And Experience PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment Strong Problem-solving ability Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) skills with Shell/Perl (or similar scripting language), Scala and Java Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. Experience with web application server like Tomcat, Jetty, JBoss etc. Strong understanding of OOP design patterns and industry best practices. Fair knowledge of scripting and working in Linux environment Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications Strong communication and data presentation skills Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred Solid knowledge in deep learning algorithms and AI system design and architecture. Strong hands-on nature (ability to self-code is a must). Strong capability to work on server class (cloud machines) for data science capability builds Strong IT & Business interactions capability Strong team player with exceptional program management. Show more Show less

PowerPoint is more than just software - it’s the world’s go-to tool for turning ideas into compelling stories. PowerPoint transforms thoughts into visual stories, enabling millions of users to share knowledge via rich presentations. PowerPoint team is reimagining visual storytelling by harnessing the power of Large Language Models (LLMs) and Agentic AI to create smarter, more dynamic presentation experiences. We are looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as fine tune LLMs and Small Language Models (SLMs). By leveraging the power of generative AI, you’ll help shape the future of PowerPoint by tackling the complex challenges of content, layout and visual storytelling. Your work will enable intelligent features that simplify presentation creation while enhancing creativity. 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 Research and Development: Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. Project Management: Drive projects from design through implementation, experimentation, and finally shipping to our users. Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products. Collaboration: Work in a diverse geographically distributed team environment where collaboration and innovation are valued. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing, and related fields, and explore new opportunities and challenges for Microsoft Office. Lead the team to continuously improve the recall and precision of bot detection by using new signals and algorithms. 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 equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. Demonstrated experience working with Large Language Models and prompt engineering. Preferred Qualifications Master’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 5+ years using ML tools like Pytorch, TensorFlow or other frameworks and libraries for developing and deploying generative AI models Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. 3+ years experience developing and deploying live production systems, as part of a product team coding in C++, C#, C, Java or Python. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. 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

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE ! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and self-driven Associate Consultant to join our Advanced Analytics & Insights team. In this role, you will be a key contributor, creating and driving impactful analytics solutions that optimize commercial performance for our life sciences clients. You will leverage your strong analytical mindset and skills to deliver actionable insights, solve complex business problems, and apply advanced analytical techniques, including modeling and simulation, to inform key business decisions and drive positive commercial outcomes. You will also have the opportunity to mentor and train junior team members. Key Responsibilities Client Engagement & Needs Assessment: Collaborate closely with clients and internal team to understand client business problems and translate them into specific analytical questions. Develop tailored research plans and analytical approaches to address these needs effectively. Data Analysis & Insight Generation: Apply advanced statistical modeling techniques to analyze data and uncover actionable insights that drive client decision-making. Design and implement custom analyses and models using a variety of tools, including Python, R, Tableau, SAS, Visual Basic, and Excel. Solution Development & Implementation: Design and lead the development of complex analytics solutions, including machine learning and predictive modeling engagements. Ensure seamless implementation of these solutions to achieve client objectives. Communication & Presentation: Effectively communicate analytical findings and recommendations to clients and internal teams through clear and concise presentations and reports. Project Management & Client Relationship Management: Manage project timelines, deliverables, and budgets. Build and maintain strong client relationships, serving as a trusted advisor on analytics matters. Mentorship & Team Leadership: Provide guidance and mentorship to junior team members, fostering a collaborative and supportive team environment. Strategic Initiatives: Contribute to internal strategic initiatives, such as capability development and knowledge sharing. Qualifications Education: Bachelor's or Master's degree in a quantitative field (e.g., Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, Engineering). A strong record of academic success in relevant coursework is required. Experience: 2-4 years of relevant post-collegiate job experience. Technical Skills: Proficiency in statistical software (e.g., SAS, R). Strong programming skills (e.g., Python, Visual Basic). Expertise in data visualization tools (e.g., Tableau, Power BI). Advanced Excel skills. Experience with machine learning and predictive modeling. Personal Skills: Strong analytical and problem-solving skills. Excellent communication skills (written and verbal). Client service orientation. Ability to work effectively in a team environment and be flexible to upskill and grow in a startup. Self-motivated and results-oriented. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge analytics, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,data visualization,tableau,machine learning,python,advance excel,sas,data analysis,statistical modeling,visual basic,power bi,excel,predictive modeling Show more Show less

The CRISIL Data Science team supports the S&P Ratings with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC to full productization Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Ratings division Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability What We’re Looking For: 4+ years of professional experience in Advanced Analytics / Data Science / Machine Learning Hands on project lifecycle experience, from business requirements gathering to productization 3+years in Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines; 1+ years in Experience working with databases and SQL 1+ years in Experience using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills 3+ years in Experience of working with large data sets and distributed computing Good understanding of mathematical foundations of Machine Learning models Able to translate business problems into problems that can be solved with Data Science 1+ years experience in developing RAG-based models without the aid of any frameworks 1+ years experience in Prompt Engineering Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs STEM/Econometrics / Financial Engineering background Cloud (AWS and Azure) Experience with model visualization and explainability Published atleast 1 journal paper or conference paper or patent Show more Show less

The CRISIL Data Science team supports the S&P Global with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC to full productization Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Ratings division Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability What We’re Looking For: 6+ years of professional experience in Advanced Analytics / Data Science / Machine Learning Hands on project lifecycle experience, from business requirements gathering to productization 8+years in Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines; 3+ years in Experience working with databases and SQL 2+ years in Experience using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills 6+ years in Experience of working with large data sets and distributed computing Good understanding of mathematical foundations of Machine Learning models Able to translate business problems into problems that can be solved with Data Science 2+ years experience in developing RAG-based models without the aid of any frameworks 3+ years experience in Prompt Engineering Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs STEM/Econometrics / Financial Engineering background Cloud (AWS and Azure) Experience with model visualization and explainability Published atleast 1 journal paper or conference paper or patent Show more Show less

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZS’s capabilities. Guide and mentor Associates on teams. What You’ll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R). Exposure to tools/platforms (e.g., Hadoop eco system and database systems). Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity, and personal initiative. Effective oral and written communication skills. Empathy, adaptability, and emotional intelligence. Strong attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Show more Show less

Job Description Project duration 4-6 weeks with the possibility of extension based on performance At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real- world expertise from across the globe. GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform an AI Tutor in Economics, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain- specific knowledge. Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise. Additional Requirements You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Academic And/or Professional Experience Candidates should have a professional experience in economics with a minimum of 3 years of professional experience in a relevant fields. Specialization in one or more of the following areas Behavioral Economics, Econometrics, Macroeconomics, Microeconomics, Development Economics, International Economics, Labor Economics, Determining the effects of minimum wage laws on unemployment, Environmental Economics, Health Economics, Public Economics. Language proficiency Level of English is advanced (C1) or above. Educational Qualifications A Master’s Degree in economics is required. Bachelor’s degree is accepted if only candidate has 6years of experience in the field. Please note, we're unable to hire from the following locations: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar Switzerland China, Taiwan Kenya Armenia, Israel, Kazakhstan, UAE, Netherlands, Serbia, Kyrgyzstan, Turkey, Uzbekistan, Belarus, Russia, Ukraine, Abkhazia, South Ossetia States of the USA: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique, New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten (Dutch part), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, Mayotte Show more Show less

About Internal Audit Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the Board and is responsible for providing an independent view to the Board of Directors and Senior Management on the quality and efficacy of the internal controls, risk management systems, governance systems and processes in place on an on-going basis. This is provided to primarily ensure that the business and support functions are in compliance with both internal and regulatory guidelines. About the Role The candidate should have master’s degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modeling software (‘R’ & SAS) is desired. Key Responsibilities § Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and high quality audit execution for critical models in use at the Bank. § The internal audit role would include the following as part of the day-to-day job: Audit of model development and validation process within the Bank. Updating risk and control matrix and checklist for audits being undertaken. Undertaking detailed walkthrough of the processes being audited and develop data request for the audit Updating of internal audit MIS with the status of audit observations and other actionable emanating to the audit department Assisting in making presentations to senior management and audit committee on the audits undertaken and performance of internal audits Provide necessary support in automating tests used in audit execution for achieving Continuous Control Monitoring (CCM) Qualifications Optimal qualification for success on the job is: § Knowledge of SR 11-7 guidelines and its implementation for the model governance § Experience in development and validation of statistical models in use across banks, primarily for the purpose of Credit underwriting and measurement & management of Credit Risk, Market & ALM Risk, ICAAP & Stress testing etc. § Previous work experience in Risk Analytics or Model Risk team of a bank or Risk advisory team of leading consulting firm with majority of time allocated on developing or validating statistical/econometric models § Proficiency in statistical modeling software ‘R’, Python, SAS & SQL is an added advantage § Excellent written and verbal communication skills Role Proficiencies: For successful execution of the job, a candidate should possess the- Knowledge of relevant Audit Systems Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to manage multiple tasks/projects and deadlines simultaneously

Vacancy No. S14349 Contract Type Intern Application Deadline 02-Jun-2025 Job Posted on 19-May-2025 Country INDIA Duty Station New Delhi, India Duration 3 Grade Internship, Not Applicable Organizational Context The IFRC is led by its Secretary General, and has its headquarters in Geneva, Switzerland. The headquarters is organized into three main divisions: (i) National Society Development and Operations Coordination; (ii) Global Relations, Humanitarian Diplomacy and Digitalization; and (iii) Management Policy, Strategy and Corporate Services. The IFRC has five regional offices in Africa, Asia Pacific, Middle East and North Africa, Europe, and the Americas. The IFRC also has country cluster delegations and country delegations throughout the world. Together, the Geneva headquarters and the field structure (regional, cluster and country) comprise the IFRC Secretariat. The Global Strategic Planning and Reporting Centre is part of the Strategic Planning Department, which is part of the Office of the Secretary General and aims to bring the IFRC planning process to the next level, with a greater focus on membership-wide planning, monitoring and reporting, high-level objectives and contextual analysis. It also supports the IFRC leadership to develop and foster new proposals and initiatives to promote the IFRC network. The Strategic Planning Department oversees a country-level planning process called ‘Unified Planning’, bringing together ongoing emergency operations and longer-term work, and based on a Federation-wide planning approach. Federation-wide country plans are elaborated at country level in the four IFRC official languages, and with formats suiting the needs of the relevant National Society. Internal Federation-wide reporting on the country plans follows IFRC standard reporting timeframes, i.e. a mid-year report (January to June) and an annual report (January to December). These plans and reports are accessible to the IFRC network only. For donors and the general public, more standard and coherent versions of the plans and reports are produced centrally and contain the needed information to attract funding at country-level. In this connection, the Global Strategic Planning and Reporting Centre (also referred to as the Global Reporting Centre) was established in late 2023, in New Delhi, India to produce the IFRC network country plans and standard narrative reports against the plans. This position is located in New Delhi, India. Job Purpose As part of the Global Strategic Planning and Reporting Centre in New Delhi, the primary purpose of the internship is to support reporting content, data visualization and design work of the IFRC network country plans and reports. The secondary purposes of the internship cover a wide spectrum of regular and ad hoc duties including (and not limited to) production tracking and administrative support. Job Duties and Responsibilities Depending on the personal skills set of the successful candidate, the intern will be required to undertake some or all of the following complementary work: Provide research support in reference to documents produced by the centre, working in close consultation and coordination with the centre’s lead or reporting officers. This includes updating sources and research on the joint situational analysis and thematic analyses in the documents. Support reporting officers in ensuring that plans and reports reflect IFRC network policies, strategies and approaches , including by inserting relevant hyperlinks in documents at finalization phase. Provide copy-editing and proofreading support to the reporting officers. Support extraction and consolidation of data (people reached/implementation indicators and financial data) for the plans and reports, in close coordination with the data and design support officer. Prepare summaries and data visualizations to provide clear data overviews, accurately managing and presenting overlaps in data. Provide design and layout support for plans, reports and other materials produced by the centre, in close coordination and consultation with the centre’s Design Officer. The support includes adjusting the layout and style of plans and reports to meet the standards set by the IFRC. Support tracking of the production processes of the centre, upon guidance provided by the centre’s lead. Undertake a wide spectrum of regular and ad hoc duties including (and not limited to) administrative support, all of which contribute towards the efficient running of the centre. Education University degree/advanced degree in one or more of the following: political science, journalism, communications, sociology, anthropology, and any related humanities degree; graphic design or art school, with a specialization in design and branding; data science, information management, econometrics or statistics Experience Understanding of/experience in drafting and editing plans, reports, articles and related publications A good understanding of data management systems, with knowledge of reading and extracting data including from financial reports for data analysis and visualization Understanding of/experience in graphic design and layout Knowledge, Skills and Languages Preferred technical skills: Demonstrated focus on quality and standards Advanced skills in computer software (Windows, word processing, PowerPoint, spreadsheets) Proficiency/proven experience with data visualization tools, particularly Power BI and Tableau Advanced technical competence in layout software Familiar with the Red Cross and Red Crescent Movement and/or international humanitarian and development work Language skills: Excellent written and oral communication, organizational and presentation skills in English, with other IFRC languages (French, Spanish or Arabic) being an advantage. Flexibility and adaptability: The successful candidate should possess a high level of flexibility and adaptability, as well as a willingness to learn, when carrying out assigned tasks for the Global Strategic Planning and Reporting Centre Modalities for the Internship The intern will report to the IFRC Lead, Global Strategic Planning and Reporting Centre, in close coordination with the Design Officer, Reporting Officers, and Data and Design Support officer. The time period foreseen is 3 months, with potential extension for a further subject to a performance appraisal. The internship will be carried out completely at the IFRC office in New Delhi OR through a mix of presence in the IFRC office in New Delhi and remotely through digital communication means. Competencies, Values and Comments Core competencies: Communications, Collaboration & Teamwork, Judgement & Decision, National Society & Customer Relations, Creativity & Innovation, Building Trust. Values: Respect for Diversity, Integrity, Professionalism, Accountability

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and Present the findings and communicate with large cross-functional teams

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 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 - 2+ 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: A2945838 Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics. Job Responsibilities Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process Assist with training of internal users and clients on investment analytics Required Qualifications, Capabilities, And Skills PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platforms Highly analytical bent of mind, close attention to detail and ability to work to very high standards High level of proficiency Python programming Preferred Qualifications, Capabilities, And Skills Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams High level of proficiency in C++, JavaScript or Python programming Role requires a detailed understanding of new age FinTech and Financial Modelling It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Job Title : Econometrics Faculty Roles and Responsibilities: The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, making question papers, and any other work of similar nature assigned by the company. Must be comfortable in teaching on youtube. Source Academic information from the standard books of UPSC and current affairs from newspapers and various websites. Create effective tests and study materials for the students. Create Academic content in the form of blogs, articles, and video scripts for the social handles of the company. Doubt solving for students of the company in the form of written format or through phone communication. Skills and Qualifications: Must have given the Mains of the UPSC Exam. Who can teach paper 2 of indian economy Must have Access to digital board. Should be comfortable teaching on youtube. Excellent written and verbal communication skills. Ability to simplify complex ideas and present them clearly and engagingly. Attention to detail and strong editing and proofreading skills. Coordination, Execution and Management skills. Location : Work from Home Language of teaching : English Job Type: Full-time / Part Time Show more Show less

Designation: Quantitative Economics 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. The subject knowledge in Econometrics , Statistical Economics, Quantitative economics, etc., and various competitive examinations. 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. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand 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 Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less