775 Econometrics Jobs - Page 6

Job Description: Job Title: CRO Wealth Management: Pre-Deal Analyst Corporate Title: Associate Location: Mumbai, India Role Description About Chief Risk Office (CRO) The Chief Risk Office function has Group-wide responsibility for the management and control of all credit, market, operational, enterprise and liquidity risks and has the responsibility of continual development of methods for risk measurement, frameworks and creating a bank wide strong risk culture. About the Wealth Management (WM) business in the Private Bank Deutsche Banks Wealth Management business is one of the largest wealth managers worldwide. As a trusted partner of wealthy individuals and entrepreneurs, family offices and foundations, we create lasting value for clients. We specialize in developing bespoke solutions for our clients around the world, for instance wealth planning across successive generations and international borders, asset management with individual risk management, loans and deposits. All this is possible thanks to our global network, our many years of experience and our close collaboration with the Corporate Bank, Investment Bank and DWS. The Lombard Lending and Derivatives Risk Management Pre-Deal team is responsible for the analysis, monitoring and management of credit risk from Lombard Lending trades and IPB derivative trades across all asset classes. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities You perform Pre-deal trade level Advance Ratio calculation for Lombard Lending collateral as well as Credit Exposure and Initial Margin calculation for derivatives - fixed income, foreign exchange, commodities, credit, Emerging Markets and asset-backed securities. The Pre-Deal assessment uses quantitative and qualitative risk management techniques such as VAR, Potential Future Exposure, back-testing, scenario and stress testing and identification of other non-trivial risks (liquidity, wrong-way, dislocation, concentration risk, gap risk). You review Advance Ratio calculation rules and coordinate the implementation of new rules. You update the WM methodology handbook, business requirement documentations, KOPs and calculation workbooks. You closely interact with Lending Business, IPB WM credit analysts and the IPB Agile team to discuss new trades, inherent risk and defend risk calculation approach, identify market trends, perform and communicate portfolio impact and concentration risk analysis, and identify and monitor deteriorating collateral. Your skills and experience University degree in Finance, Mathematics, Engineering, Physics, Economics, Econometrics, Statistics and if the degree is in Humanities subjects, then strong programming skills would be essential. Knowledge of financial markets, traded products, risk concepts and strong derivative product knowledge across multiple asset classes. Strong mathematical and statistical background, attention to details and strong analytical skills. Experienced in methodology development for financial products and excellent communication skills with ability to articulate technical and financial topics with Global stakeholders. 2-6 years working experience in Model Risk, Lombard Lending, Derivatives Business or Risk Management. Working experience in Excel and using large data sets in a statistical software package as Python for analysis and risk management. Able to multi-task and deliver under tight deadlines. How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Specialist Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. Role: Analyst (2 4 Years Experience) Location: Gurgaon Experience Level: 2 4 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2 4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Basic qualifications Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solutionThe ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with an offshore team to produce outcomes in a timely manner.The person should have a good experience in handling generative AI model.The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive modelsIdeal candidate should have hands on experience using Machine Learning TechniquesGood knowledge of model development experience using PythonHe / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholdersShould possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value addHands on experience in developing models (end to end)Experience with Natural Language ProcessingPython for Data Science (mandatory), Good proficiency in end to end coding which includes deployment experience.Experience processing large data.Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plusFunctional/Domain Experience:Good exposure to BFSI domain ( Insurance is preferred) Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Product Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Associate Product Specialist (1-2 Years Experience) Location: Gurgaon Experience Level: 1-2 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2–4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. ________________________________________ Basic Qualifications Undergraduate degree with 1-2 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-254088

Senior Applied Scientist Hyderabad, Telangana, India Date posted Jul 07, 2025 Job number 1829062 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Senior Applied Scientist working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 5+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Data Scientist II Hyderabad, Telangana, India Date posted Jul 21, 2025 Job number 1848132 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Do you want to help shape the future of Copilot in Windows and AI investments through your analyses and insights? Are you passionate about delivering the next generation of user-facing AI scenarios to the hundreds of millions of people who use Windows every single day? Does the thought of partnering closely with product teams to influence the product in each stage of the lifecycle through data and insights excite you very much? Do you seek novel ways to gain insights from data and love to tell stories with those insights? Do you love driving growth in customer and business metrics by generating data driven hypotheses and running experiments? If so, we would like to talk to you! As a Data Scientist II , you will be delivering the next generation of user-facing scenarios to the hundreds of millions of people who use Windows every single day. You will partner closely with product teams to influence the product in each stage of the lifecycle through data and insights. Drive growth in customer and business metrics by generating data driven hypotheses, designing and running experiments. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical) OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications: Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+DJobs Responsibilities Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios. Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics. Design and execute on Growth Experiments, analyze results to identify key insights. Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description Are you a skilled economist with a passion for regulatory policy? Do you thrive on analyzing complex data and translating it into actionable insights? We're seeking a talented a remote Economic Policy Analyst to join our team. Key Responsibilities Data Analysis: Gather, clean, and analyze quantitative and qualitative data from various sources. Policy Benchmarking: Conduct in-depth research and analysis of regulatory policies and practices across jurisdictions. Report Writing: Prepare clear and concise reports, presentations, and briefs to communicate findings to diverse audiences. Policy Evaluation: Assess the economic impact of regulatory policies and identify potential areas for improvement. Stakeholder Engagement: Collaborate with internal and external stakeholders to gather input and inform policy development. Qualifications Advanced degree in Economics, Econometrics, or a related field. Strong quantitative and analytical skills, including proficiency in statistical software (e.g., R, Python, Stata). Excellent written and verbal communication skills, with the ability to convey complex ideas clearly and concisely. Experience in regulatory economics and policy analysis. Strong organizational and time management skills. Proficiency in data visualization tools (e.g., Tableau, Power BI). Benefits Competitive salary and benefits package. This is 100% remote position Opportunities for professional development and career advancement. Collaborative and supportive work environment.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Senior Specialist (6–8 Years Experience) Location: Gurgaon Experience Level: 6-8 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Lead with 6–8 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Mentor junior analysts and contribute to best practices in analytics delivery. Partner with marketing, finance, and data engineering to ensure robust data solutions. ________________________________________ Basic qualifications Undergraduate degree with 6-8 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Deep knowledge of business KPIs, financials and organizational leadership Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Experience generating new knowledge or creating innovative solutions for a firm Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Analyst (2–4 Years Experience) Location: Gurgaon Experience Level: 2–4 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2–4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. ________________________________________ Basic qualifications Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store. Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency. About the Role Collaborative Environment: Work with an international team in a flexible and supportive setting, fostering cross-functional collaboration between data scientists, engineers, and product stakeholders. Tool Ownership and Development: Take ownership of a core Python-based tool, ensuring its continued development, scalability, and maintainability. Use robust engineering practices such as version control, testing and PRs. Innovative Solution Development: Collaborate closely with subject matter experts to understand complex methodologies. Translate these into scalable, production-ready implementations within the Python tool. Design and implement new features and enhancements to the tool to address evolving market challenges and improve team efficiency. Methodology Enhancement: Evaluate and improve current methodologies, including data cleaning, preparation, quality tracking, and consumer projection, with a strong focus on automation and reproducibility. Documentation & Code Quality: Maintain comprehensive documentation of the tool’s architecture, usage, and development roadmap. Ensure high code quality through peer reviews and adherence to best practices. Research and Analysis: Conduct rigorous research and analysis to inform tool improvements and ensure alignment with business needs. Communicate findings and recommendations clearly to both technical and non-technical audiences. Deployment and Support: Support the production deployment of new features and enhancements. Monitor tool performance and address issues proactively to ensure reliability and user satisfaction. Cross-Team Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration of the tool into broader workflows and systems. Qualifications About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. Educational Background: Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Mathematics, Statistics, Socioeconomics, Data Science, or a related field with a minimum of 3 years of relevant experience. Programming Proficiency: Proficient with Python or another programming language, R, C++ or JAVA, with a willingness to learn Python. Software Engineering Skills: Strong software engineering skills, including experience designing and developing software; optionally, experience with version control systems GitHub or Bitbucket Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. Data Handling: Experience using Spark, specifically with PySpark package, experience working with large-scale datasets. Optionally, experience in SQL and working with queries. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Statistical Expertise: Statistical and logical skills, experience in data cleaning, and data aggregation techniques. Communication and Collaboration: Strong communication, writing, and collaboration skills. Nice to Have Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels. Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, , Databricks, Snowflake). Production Support:Experience or interest in supporting technology teams in production deployment. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The Model Development Analyst 1 is responsible for generating data-driven insights into all modeling needs of the Banks and the practical results of models. This role’s focus is to help the Banks understand their risk profiles along with risk management processes that are needed in support of those risk profiles. Besides capital modeling, the Model Development Analyst 1 takes ownership of stress testing in other areas, including the stress testing required by the Dodd-Frank Act Stress Tests (DFAST), liquidity stress testing, and other. This position is also responsible for models such as Current Expected Credit Loss (CECL), Pricing, etc. In addition, this Analyst is responsible for analyzing the effects of policy and strategy changes on outcomes. Some of this analysis entails the building of models while some will require other analytical skills. Essential Job Functions Analytics - Work with the team leader to establish portfolio-level financial analyses to understand emerging trends, size financial impacts, and answer key leadership questions. Conduct data integrity checks and applicable data pre-processing such as treatment of missing values and outliers. Conduct exploratory data analysis for preliminary data insights to drive the selection of modeling approach that best addresses the business problem. Assist in building predictive models using statistical methodologies like decision trees, regression modeling, and clustering. Utilize knowledge of macro-economic variables and macro-economic scenarios for economic capital prediction and stress testing. Create standard operating procedures and documentation for key processes. Business Relationships - Summarize results into key insights that are easy to understand and prove useful and present key findings and recommended solutions to internal and external business partners. Provide recommendations regarding how to use data science and models to drive critical business decisions. Translate partners’ business needs into analytics projects and quickly estimate potential benefit. Demonstrate knowledge of the business, such as drivers of profitability, system capabilities, and company goals. Collaboration - Under supervision and guidance, translate analytical results into useful recommendations for review with manager. Demonstrate strong verbal and written communication skills when working with internal partners and when presenting results to various audiences. Work across the finance organization with other data scientists to coordinate standardizing definitions / calculations, sharing of best practices, development of foundational knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations while working with the business. Collaborate with other data scientists in the company to share best practices and data science innovations. Data Science Innovation – With direction from leader, research industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency. Conduct use case testing for new tools/techniques/platforms/data and provide user input/feedback. Reports To: Lead or above Direct Reports: None Working Conditions/Physical Requirements Normal Office Environment. Hybrid role, work in corporate office as required. Minimum Qualifications Bachelor’s degree in Finance, Statistics, Econometrics, Quantitative Analysis, Economics or related field of study. Preferred Qualifications Master’s degree in Finance, Statistics, Econometrics, Quantitative Analysis, Economics or related field of study. Certified or pursuing CFA, FRM, or equivalent certifications. 1+ years of relevant experience in Model risk, data analytics or financial reporting. Experience with Python, SQL, or SAS. Knowledge, Skills And Abilities Stress testing Verbal and written communication skills Collaboration Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. About Bread Financial At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We’ve been consistently recognized as a best place to work nationally and in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial® (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers. To learn more about Bread Financial, our global associates and our sustainability commitments, visit breadfinancial.com or follow us on Instagram and LinkedIn. All job offers are contingent upon successful completion of credit and background checks. Bread Financial is an Equal Opportunity Employer. Job Family Enterprise Risk Job Type Regular

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Risk & Compliance, Quantitative Research Associate in our team, your mission will be to develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and hedge financial transactions. You will have the opportunity to work with trading desks, product managers, and technology teams to develop analytical tools and quantitative trading models. Additionally, you will collaborate with different control functions to ensure our business operates under established regulatory requirements. We offer multiple opportunities across derivative quantitative modelling, electronic trading quantitative role, risk quantitative, a cross-asset library and infrastructure quantitative, or as a quantitative in the business optimization and automation team. The teams mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions. You could be working with trading desks, product managers and technology teams to develop analytical tools and quantitative trading models. You could also be working with different control functions to make sure business is operating under established regulatory requirements. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required qualifications, capabilities, and skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields and have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics - calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred qualifications, capabilities, and skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus

Job Description Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store. Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency. About The Role Collaborative Environment: Work with an international team in a flexible and supportive setting, fostering cross-functional collaboration between data scientists, engineers, and product stakeholders Tool Ownership and Development: Take ownership of a core Python-based tool, ensuring its continued development, scalability, and maintainability. Use robust engineering practices such as version control, testing and PRs Innovative Solution Development: Collaborate closely with subject matter experts to understand complex methodologies. Translate these into scalable, production-ready implementations within the Python tool. Design and implement new features and enhancements to the tool to address evolving market challenges and improve team efficiency Methodology Enhancement: Evaluate and improve current methodologies, including data cleaning, preparation, quality tracking, and consumer projection, with a strong focus on automation and reproducibility Documentation & Code Quality: Maintain comprehensive documentation of the tool’s architecture, usage, and development roadmap. Ensure high code quality through peer reviews and adherence to best practices Research and Analysis: Conduct rigorous research and analysis to inform tool improvements and ensure alignment with business needs. Communicate findings and recommendations clearly to both technical and non-technical audiences Deployment and Support: Support the production deployment of new features and enhancements. Monitor tool performance and address issues proactively to ensure reliability and user satisfaction Cross-Team Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration of the tool into broader workflows and systems Qualifications About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. Educational Background: Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Mathematics, Statistics, Socioeconomics, Data Science, or a related field with a minimum of 3 years of relevant experience Programming Proficiency: Proficient with Python or another programming language, R, C++ or JAVA, with a willingness to learn Python Software Engineering Skills: Strong software engineering skills, including experience designing and developing software; optionally, experience with version control systems GitHub or Bitbucket Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets Data Handling: Experience using Spark, specifically with PySpark package, experience working with large-scale datasets. Optionally, experience in SQL and working with queries Continuous Learning: Eagerness to adopt and develop evolving technologies and tools Statistical Expertise: Statistical and logical skills, experience in data cleaning, and data aggregation techniques Communication and Collaboration: Strong communication, writing, and collaboration skills Nice to Have Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, , Databricks, Snowflake) Production Support:Experience or interest in supporting technology teams in production deployment Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

As a Quantitative Researcher at our firm, you will be an integral part of the growing team in the Quantitative Strategies Central Research group. Your main responsibility will involve developing alpha signals for global equities and futures markets by utilizing advanced mathematical and statistical techniques, along with your exceptional problem-solving skills. You will be based in India, with the option to work from Mumbai, Delhi, or Gurgaon. Your primary tasks will include analyzing datasets using machine learning, statistical, applied math, and econometric techniques. Additionally, you will be tasked with developing predictive signals for financial markets, rigorously testing models, and creating trading algorithms for the profitable implementation of these models. To ensure continuous learning and growth, you will also review academic literature and participate in relevant conferences focusing on areas such as empirical finance, market microstructure, machine learning, and computational statistics. To excel in this role, we are looking for candidates with a Bachelors, Masters, or Ph.D. degree in Mathematics, Computer Science, Statistics, Physics, Electrical Engineering, or a related field. A proven track record of excellence in your specialized area, along with experience in machine learning and statistical applications, will be advantageous. Notably, prior experience in the investment field is not mandatory. Proficiency in at least one major programming language such as C/C++, Java, or Python is a must. Additionally, having statistical programming skills using Python, R, or Matlab will be considered a bonus. The target start date for this position is as soon as possible. If you are excited about this opportunity and believe you are the right fit for this role, please submit your resume to india.quant.talent@mlp.com and reference REQ-11568.,

Whether you are at the beginning of your career or seeking your next adventure, your journey commences here. At Citi, you will have the chance to enhance your skills and contribute to one of the world's most global banks. We are dedicated to supporting your growth and development right from the start, offering extensive on-the-job training, exposure to senior leaders, and traditional learning opportunities. Additionally, you will have the opportunity to give back to the community through volunteerism. Citi Finance oversees the financial management and related controls of the firm. The team manages and collaborates on key Citi initiatives and deliverables, such as the quarterly earnings process and ensuring compliance with financial regulations. The team consists of chief financial officers who partner with various businesses and disciplines, including controllers, financial planning and analysis, strategy, investor relations, tax, and treasury. We are currently seeking a highly skilled professional to join our team as Vice President, NTMR Lead Analyst - Hybrid based in Mumbai. As a part of our team, we will provide you with the necessary resources to meet your unique needs, empower you to make sound decisions regarding your financial well-being, and help you plan for the future. Citi offers access to a range of learning and development resources to enhance your skills as you progress in your career. We also provide programs to help employees achieve work-life balance, including generous paid time off packages. Moreover, we encourage our employees to volunteer in their communities, with Citi employee volunteers contributing over 1 million hours globally in 2019. In this role, you will be expected to: The Balance Sheet Management Lead Analyst supports the BSM NTMR manager in bank balance sheet management and optimization. This involves balancing financial resources among different priorities, understanding Non-Trading Market Risk, and contributing to achieving Corporate Treasury's balance sheet optimization objectives and Citigroup's strategic goals. Strong communication skills are essential to collaborate with stakeholders across levels. The role involves providing support to the NTMR manager in executing functional strategy and reflecting strategic influence on the business. The Balance Sheet Management Model Governance group is a critical team within Treasury/Balance Sheet Management responsible for maintaining and governing models used to generate Non-Trading Market Risk metrics within Treasury. This team plays a vital role in overall balance sheet management and directly impacts Citigroup's Capital. Key Responsibilities: - Support the Non-Trading Market Manager with BSM's management process, asset allocation, and risk analysis - Enhance BSM's analytics and establish Citi's first-line NTMR management framework - Align governance and management framework for legal entities with risk exposure - Identify and remediate gaps in non-trading market risk and interact with stakeholders to ensure compliance Qualifications and Requirements: - Experience in statistical modeling, econometrics, or model governance in the financial domain - 5 to 7+ years experience in Financial Services, Treasury, and bank liquidity investment portfolio - Knowledge of debt investment securities and non-trading market risks - Understanding of regulatory, compliance, risk management, and financial management Education: - Bachelor's degree in Finance or related field; advanced degree is a plus - Proficiency in Bloomberg, fixed income tools, Python, and database management - Strong presentation and Excel skills - Understanding of accounting and general ledger principles,

GWFO Data & Reporting Analyst: C11 Who We Are. With Citi’s Analytics & Information Management (AIM) group, you will do meaningful work from Day 1. Our collaborative and respectful culture lets people grow and make a difference in one of the world’s leading Financial Services Organizations. The purpose of the group is to use Citi’s data assets to analyze information and create actionable intelligence for our business leaders. We value what makes you unique so that you have opportunity to shine. You also get the opportunity to work with the best minds and top leaders in the analytics space. What The Role Is The role of Officer – Data Management/Information Analyst will be part of AIM team based out of Chennai, India supporting the Global Workforce Optimization unit. The GWFO team supports capacity planning across the organization. The primary responsibility of the GWFO team is to forecast future demand (Inbound /Outbound Call Volume, back-office process volume, etc.) and the capacity required to fulfill the demand. It also includes forecasting short-term demand (daily/ hourly) and scheduling the agent accordingly. The GWFO team is also responsible for collaborating with multiple stakeholders and coming up with optimal hiring plans to ensure adequate capacity as well as optimize the operational budget. In this role, you will work alongside a highly talented team of analyst to build data solutions to track key business metrics and support the workforce optimization activities. You will be responsible for understanding and mapping out the data landscape for current and new businesses that are onboarded by GWFO and enable the usage of the same to provide for capacity planning, reporting and analytics, as well as real-time monitoring. You would work very closely with GWFO’s technology partners in getting these solutions implemented in a compliant environment. You will be an SME in the group, supporting and mentoring the team on technical solutioning and should be ready to lend your hand to juniors when needed. Who You Are. Data Driven. A proven track record of enabling decision making and problem solving with data. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach. Excellent Problem Solver. You are a critical thinker, able to ask right questions, make sense of a situation and come up with intelligent solutions. Automation Innovator. You have an affinity towards identifying opportunities for automation, designing, and implementing automated workflows, and measuring the impact of automation initiatives. Strong Team Player. You build a trusted relationships with your team members. You are ready to offer unconditional assistance, will listen, share knowledge, and are always ready to provide support as needed. Strong Communicator. You can communicate verbally and through written communication with clarity and can structure and present your work to your partners & leadership. Clear Results Orientation . You display a keen focus on achieving both short and long-term goals and have experience driving and executing an agenda in a demanding and fast-paced environment, with an eye on risks & controls. Innovative. You are always challenging yourself and your team to find better and faster ways of doing things. What You Do Data Exploration. Understand underlying data sources by dwelling into multiple platforms scattered across the organization. You do what it takes to gather information by connecting with people across business teams and technology. Process Automation. You have an experience in automating repetitive, rule-based tasks without deep coding. Experience with workflow automation platforms and API integration. Dashboarding and Visualization. You develop insightful, visually compelling and engaging dashboards that supports decision making and drive adoption. Flawless Execution. You manage and sequence delivery of reporting and data needs by actively managing requests against available bandwidth and identify opportunities for improved productivity. Be an Enabler. You support your team and help them accomplish their goals with empathy. You act as a facilitator and remove blockers and create a positive atmosphere for then to be innovative and productive at work. Qualifications Master’s degree in Information Technology / Information Systems / Computer Applications / Engineering from a premier institute or BTech/B.E. Must have 6+ years of work experience in the Data & Reporting space Must have expertise working with SQL Must have expertise working with Tableau for data visualization Exposure to Automation tools in Python, Xceptor, Appian, VBA, etc. desirable Proficiency in JIRA/Confluence desirable Job Description:: Data Analyst (C10) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: Data Management team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL, Python (Added advantage) Proficient in MS Excel, PowerPoint Domain Skills Good understanding of Data definitions and Data Lineage Data Quality framework Data Warehouse Knowledge Soft Skills (Preferred) - Knowledge on Banking products and Finance Regulations Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Ciklum is looking for an Expert Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! General technical requirements: BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Good to have skills: Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j) Business-related requirements: Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels Desirable: Research experience with peer-reviewed publications Recognized achievements in data science competitions, such as Kaggle Certifications in cloud-based machine learning services (AWS, Azure, GCP) What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Position Overview Job title: Debt Strategic Analytics Corporate Title: VP Location: Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent, and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Debt Strategic Analytics (Strats). The candidate is required to work in close collaboration with London/Singapore teams on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills to coordinate and communicate effectively with various stakeholders spread across the globe. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your Key Responsibilities The Quantitative Strategist (Quant Strat) is responsible for designing, developing and implementing through analytical (quantitative) and direct coding (e.g., via C++; Python or any other relevant application), quantitative strategic models, risk management (credit risk, market risk, anti-financial crime etc.) and pricing solutions to meet business & control needs and drive respective strategies or regulatory adherence. Some responsibilities for this role include, but not limited to: Work with Capital and Liquidity Management colleagues in Treasury to develop a framework to optimize funding for the bank, manage asset and liability mismatches in the liquidity pool and bring more transparency into the process. Development of complex processes, framework or risk analysis as well as improvements specially focused on Liquidity Risk. Implement, enhance and maintain existing framework to measure market risks across the bank from Treasury perspective. Remediation of regulatory as well as external and internal findings against any existing risk model. Build quant driven tools and products for front-office and control functions. Coordinate and gather information from various stakeholders for deeper understanding of the business. Develop and design tables and databases required for storage of the data. Design an automated solution which is optimized and scalable. Your Skills And Experience Strong programming skills in C++ and Python preferably in financial industry. Relevant experience of at least 8 years in Banking or Software Development. At least 3+ year experience with relational database design (oracle, mysql). Strong understanding of Data Structures & Algorithms, memory optimization etc. Good quantitative skills in Probability, Calculus, and Linear Algebra. Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc.) is a plus. Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms is a plus. Relevant experience in some of financial products like Bonds, Swaps, Cross Currency Swaps, Loans & Deposits is a plus. Strong communication skills and presentation ability with attention to detail. Good problem-solving instincts and strong analytical skills. Strong educational background in Engineering/Science, preferably from top tier colleges in India. How We’ll Support You Training and development to help you excel in your career. Flexible working to assist you balance your personal priorities. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job title: Debt Strategic Analytics Corporate Title: Analyst Location: Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. Strategic Analytics Group is responsible for implementing all quant driven analytics within the bank on a common platform. DBC Strats team is a part of global Strats group and works in close collaboration with onshore teams located in New York, London, Frankfurt and Singapore. Within the Strats group, different verticals are aligned with respective business and work very closely with onshore desks to implement and streamline all their functional and regulatory requirements. This strats role is for Corporate Banking business of the bank. The candidate will work in close collaboration with London/New York strats team and business desk on various projects. The candidate is required to understand the business requirement, gather information required for the implementation (data, model, regulations etc.) and provide an end-to-end optimized solution on a scalable platform. Implementation of the projects needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills in order to coordinate and communicate effectively with various stakeholders spread across the globe. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your Key Responsibilities This position is responsible for, but not limited to : Implementation of IRRBB (Interest Rate Risk in Banking Book) regulatory requirements for Corporate Banking Develop a framework to project Net Interest Income for the bank based on banking book trades Identify risk factors and run what-if scenarios to analyze potential loss End of Day Risk and PnL calculation for various products for the Global Transaction Banking business Optimize funding requirements for the business from internal Treasury Optimize institutional loan profiles based on deposits profile and regulatory requirements per region Your Skills And Experience Technical Skills – Strong programming skills in any Object Oriented Programming language (C++//Python) with proven experience of at least 2 years in financial industry or Product based company Good knowledge of Data Structures & Algorithms, Memory optimization etc Experience of working with relational databases (Oracle, Mysql) is a plus Quant/Analytical Skills – Good quantitative skills in Probability, Calculus, Linear algebra Knowledge of Financial products and pricing/risk calculation is a plus Behavioral Skills – Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Inclination to learn Finance and econometrics on the job Educational Qualification – Strong educational background in Engineering/Science, preferably from Tier 1 colleges in India How We’ll Support You Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job Title: Quant Analyst Corporate Title: AVP Location: Mumbai, India Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. Apply English Sign In Search for Jobs The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex external stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your Skills And Experience Competencies Programming Skills At least 4 years’ experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure – stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQF How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview In Scope of Position based Promotions (INTERNAL only) Job title: Corporate Banking Strat Corporate Title: Associate Location: Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. Strategic Analytics Group is responsible for implementing all quant driven analytics within the bank on a common platform. DBC Strats team is a part of global Strats group and works in close collaboration with onshore teams located in New York, London, Frankfurt and Singapore. Within the Strats group, different verticals are aligned with respective business and work very closely with onshore desks to implement and streamline all their functional and regulatory requirements. This strats role is for Corporate Banking business of the bank. The candidate will work in close collaboration with London/New York strats team and business desk on various projects. The candidate is required to understand the business requirement, gather information required for the implementation (data, model, regulations etc.) and provide an end-to-end optimized solution on a scalable platform. Implementation of the projects needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills in order to coordinate and communicate effectively with various stakeholders spread across the globe. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your Key Responsibilities This position is responsible for, but not limited to : Implementation of IRRBB (Interest Rate Risk in Banking Book) regulatory requirements for Corporate Banking Develop a framework to project Net Interest Income for the bank based on banking book trades Identify risk factors and run what-if scenarios to analyze potential loss End of Day Risk and PnL calculation for various products for the Global Transaction Banking business Optimize funding requirements for the business from internal Treasury Optimize institutional loan profiles based on deposits profile and regulatory requirements per region Your Skills And Experience Technical Skills – Strong programming skills in any Object Oriented Programming language (C++//Python) with proven experience of at least 4 years in financial industry or Product based company Good knowledge of Data Structures & Algorithms, Memory optimization etc Experience of working with relational databases (Oracle, Mysql) is a plus Quant/Analytical Skills – Good quantitative skills in Probability, Calculus, Linear algebra Knowledge of Financial products and pricing/risk calculation is a plus Behavioral Skills – Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Inclination to learn Finance and econometrics on the job Educational Qualification – Strong educational background in Engineering/Science, preferably from Tier 1 colleges in India How We’ll Support You Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Senior Specialist (6–8 Years Experience) Location: Gurgaon Experience Level: 6-8 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Lead with 6–8 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Mentor junior analysts and contribute to best practices in analytics delivery. Partner with marketing, finance, and data engineering to ensure robust data solutions. ________________________________________ Basic Qualifications Undergraduate degree with 6-8 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Deep knowledge of business KPIs, financials and organizational leadership Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Experience generating new knowledge or creating innovative solutions for a firm Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-254087

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Analyst (2–4 Years Experience) Location: Gurgaon Experience Level: 2–4 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2–4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. ________________________________________ Basic Qualifications Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-254085

Who are we looking for? Customer Success Manager drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables and generating focused insights. Openings: 1 Experience: Min. 3-5 Years of work experience Requirements: Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. Past experience in working with Advanced Excel and in making powerful presentations will be a plus. We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: Competitive salary Technical coaching to ensure continuous professional growth Awards & recognition for your hard work Job Type: Full-time Pay: ₹40,000.00 - ₹65,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Quarterly bonus Application Question(s): Where are you currently residing?(City) How many years of total experience do you have in Customer Success? What's your notice period in-days? What's your current annual salary? Work Location: In person Application Deadline: 15/07/2025 Expected Start Date: 28/07/2025

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. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. 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.