FSS - Data Strategist, Vice President,Quantitative Strategists

External

Morgan Stanley · Mumbai, India

Full-timeOn-site4d ago

Data ModelingMachine LearningMovePythonSQLSystem Design

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About the role

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. Morgan Stanley provides a superior foundation for building a professional career - a place for people to learn, achieve and grow. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanle

Benefits

Work in Quantitative Strategies of one of the world's top tier Financial Institutions and gain first-hand insight of our businessA desirable compensation and benefits package including eligibility for an annual bonusProfessional development opportunities including access to Morgan Stanley's world-class internal trainingWork at the intersection of quantitative analysis, large-scale data engineering, and system-level problem solving with exposure to firm-wide financial, risk, and regulatory data systemsClose collaboration with Treasury, Finance, and Technology on core infrastructure underpinning financial data and reportingDay-to-day responsibilities involve:Design and implement quantitative data control frameworks using statistical, algorithmic, and machine learning techniques to ensure accuracy and consistency of financial and risk dataBuild scalable, automated data quality solutions for large-scale datasetsAnalyze complex, distributed data pipelines (lineage, transformations, dependencies) across systemsInvestigate and resolve non-trivial data issues through direct work with datasets and codebasesImprove data architecture and control design to reduce systemic issues and enhance reliabilityYou have:Bachelor's or Master's degree in a quantitative or technical discipline, with strong foundations in mathematics, statistics, or algorithmic problem solving, and 6-8 years of relevant experience as a desk strategist, financial modeler, or quantitative analystStrong programming skills (Python, SQL; Kdb-q a plus) with experience handling large-scale data and complex transformationsAbility to apply statistical and analytical methods to diagnose and solve real-world data problems, including familiarity with data modeling and anomaly detectionAbility to analyze complex problems across systems, quickly understanding data environments, workflows, and codebasesAbility to synthesize insights across multiple systems and data sources, communicate findings clearly, and independently explore advanced techniques (e.g., machine learning)Team Profile:The Finance Shared Services (FSS) Data Strategies team focuses on the integrity, structure, and scalability of data supporting financial and regulatory processes.The team operates across the full data lifecycle, including:End-to-end data lineage and cross-system consistencyResolution of structural data issues across interconnected systemsDevelopment of automated, quantitative control frameworksContinuous enhancement of data architecture to support accuracy, scalability, and auditabilityThe role provides exposure to firm-wide data infrastructure and the inputs feeding financial models and regulatory reporting, building strong capability in quantitative analysis, system design, and applied data science.

FSS - Data Strategist, Vice President,Quantitative Strategists

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