MSET QR Counterparty Risk Strats, Manager, Institutional Equity Division

Company Profile

Mor g an Sta n ley is a lea d ing global fi n anc i al s e rv ic es firm prov i ding a wide ran g e of invest m ent ba n king, s e c u rit i es, inv e st m ent m anage m ent and w e alth m anage m ent serv i c e s . T h e Fir m 's e m ploye e s s e rve clien t s w o rldwi d e inc l u d ing corp o ratio n s , govern m en t s, and ind i vid u a l s from m ore than 1,2 0 0 offic e s in 43 co u ntries.

As a m arket lead e r, the talent and p a ss i on of our p eo ple is c r itical to our s u cc es s. Togeth e r, we share a co mm on set of val u es r o ot e d in i ntegri t y, excel l e n ce and str o ng team ethic. Mor g an Sta n ley c a n p r o v i de a sup e ri o r fo u ndation for building a pr ofessio n al c a re e r - a pl ac e for p e ople to lea r n, to a c hi e v e and g row. A p hil o sop h y that ba l ances pers on a l lifestyl e s, persp e c tives a nd nee d s is an im portant part of our cult u r e .

Department Profile

From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world's financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets.

Morgan Stanley's Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs.

Global Markets Group is the offshoring arm of Morgan Stanley's Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, Strats to risk management.

The Quantitative Research (QR) Counterparty Risk group has a global footprint across New York, London, and Hong Kong, and works closely with a range of business lines, including Prime Brokerage, Listed Derivatives, OTC Clearing, Institutional Equities, and Fixed Income Trading. In addition to providing ad hoc analysis to support live business decisions, the team works on a wide variety of projects, including enhancing counterparty risk metrics, developing tools for collateral and resource optimization, and applying data analysis and machine learning techniques. We are looking to hire highly talented, creative individuals who are enthusiastic about research and eager to contribute to a leading-edge team in an intellectually stimulating environment.

Primary Responsibilities

This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research Counterparty Risk team.

The expected working hours will be London hours.

The key elements of the role are:

• Perform regular calibration and performance monitoring tasks on models and ensure timely delivery of high-quality analysis.
• Help to automate regular calibration and performance monitoring tasks
• Analyze back testing data to attribute P&L to risk factors and identify data quality or modelling issues.
• Support the development and prototyping of risk models and risk management techniques under the guidance of senior team members.
• Contribute to developing the team's suite of quantitative tools.
• Analyze historical data to identify trends within the hedge fund industry and produce reports for clients and senior management.
• Support the development of stress tests for regular reporting and in response to specific market events, such as upcoming elections.

• 3-5 years of experience in the financial sector, with direct practical experience in financial markets
• Bachelor's or higher degree in a quantitative discipline; professional qualifications such as CA, CFA, FRM, MMS, or MBA will also be considered
• Strong practical experience in data analysis, data handling, and mathematical modeling
• Proficiency in Python and SQL, with experience in automation and streamlining processes
• Strong analytical and reasoning skills, with the ability to break down complex problems and projects into manageable components
• Strong written and verbal communication skills, with the ability to present concepts and solutions clearly to diverse audiences

• Understanding of market and counterparty risk methodologies, including stress testing, VaR, and related risk measures.
• Familiarity with risk management concepts such as initial margin, variation margin, model risk management, and regulatory requirements.

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