Derivative Risk Product & Analytics , Associate , Institutional Equities Division
Morgan Stanley — Mumbai, India
Morgan Stanley’s Derivative Risk Product team in the Institutional Equity Division (IED) is looking to expand and build out the team’s data analytics capabilities. The candidate’s main responsibilities will be to use data and quantitative solutions to help optimize day to day operations for the global team, as well as help build analytics. This role will be based in Mumbai working with teams around the globe. Global Capital Markets: In the Global Capital Markets division, we offer Global expertise in market analysis and in advisory and capital-raising services for corporations, institutions, and governments. The Global Markets Group (GMG) is Morgan Stanley’s offshore arm for Sales & Trading in India. GMG supports the IED platform by partnering with onshore teams across Sales, Trading, Structuring, Quantitative/Strats, Analytics, Operations and Risk Management. The group provides scalable coverage, process excellence and technical expertise, enabling global desks to focus on client-facing priorities while maintaining strong controls, governance and risk discipline. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Support coverage of the EMEA Derivatives business through risk analysis, reporting, and control oversight Develop analytics to monitor business activity, risk metrics, exposures, and exceptions Partner with product, trading, and technology teams to improve workflows, controls, and management information Build dashboards, reporting, and automated monitoring tools Analyse datasets to identify trends, outliers, and areas requiring escalation or remediation Contribute to strategic technology and infrastructure projects that strengthen the risk management framework Help define business requirements, perform testing, and support implementation of new tools and processes Use LLMs an
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