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MSET QR Index Rebal Strat Role, Senior Manager, Institutional Equity Division

Morgan Stanley

MSET QR Index Rebal Strat Role, Senior Manager, Institutional Equity Division

full-timePosted: Aug 3, 2026Updated: Sep 2, 2026India, Mumbai

Job Description

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) group designs, builds and maintains the models which drive the equity trading engines at Morgan Stanley. Our systems are used globally by both internal trading groups and clients of the firm. We utilize systematic, data-driven approaches to understand how markets work and put those ideas in action. The team spans the disciplines of finance, econometrics, statistics, mathematics, machine learning and data analysis, with many team members well versed in multiple areas. We are looking to hire highly talented, creative individuals who are enthusiastic about research; and enthusiastic about making a contribution 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 teams. The successful candidate will be a fast-learning, dynamic, pro-active and self-motivated individual who can assist the team in maintaining and analyzing referential data, as well as generating ad hoc performance and market condition reports for clients.The expected working hours will be 2:30 PM (IST) to 10:30 PM (IST)What You’ll Do In The RoleAnalyze events related to index rebalances, including flow estimation, quantitative and qualitative assessments, and reportingRespond to client requests, including bespoke analysis related to index events, corporate actions, and market structure changesShare insights through emails and presentations by preparing deep-dive analytical content on index events, corporate actions, and market microstructurePrepare scenario analysis and historical performance backtests for potential index eventsCollaborate regularly with cross-functional teams including Sales, Trading, and StratsWhat You’ll Bring To The Role6-8 years of experience in the financial sector, with hands-on exposure to equity marketsExcellent written and verbal communication skills, with the ability to articulate ideas clearly.Experience in generating content or authoring papers related to market structure or research outcomes (fundamental or statistical)A degree in quantitative discipline (e.g., BE, BTech, MS in Mathematics, Statistics, Financial Engineering, or Economics)Proficiency in Python and experience working with financial datasetsFamiliarity with general trading concepts and market microstructureStrong organizational skills with the ability to multitask and meet tight deadlinesExceptional attention to detailGood To Have SkillKnowledge of index rebalances, funds, ETFs, and related mechanisms.Experience working with risk models/attribution tools such as BarraOneFamiliarity with Linux, shell scripting, and automation tools.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.morganstanley.com/people-opportunities/eeo.

Locations

  • India, Mumbai

Skills Required

  • financial sectorintermediate
  • generating contentintermediate
  • Pythonintermediate
  • general trading conceptsintermediate
  • index rebalancesintermediate
  • Linuxintermediate

Required Qualifications

  • 6-8 years of experience in the financial sector, with hands-on exposure to equity markets (experience, 8 years)
  • Excellent written and verbal communication skills, with the ability to articulate ideas clearly. (experience)
  • Experience in generating content or authoring papers related to market structure or research outcomes (fundamental or statistical) (experience)
  • A degree in quantitative discipline (e.g., BE, BTech, MS in Mathematics, Statistics, Financial Engineering, or Economics) (degree in quantitative discipline)
  • Proficiency in Python and experience working with financial datasets (experience)
  • Familiarity with general trading concepts and market microstructure (experience)
  • Strong organizational skills with the ability to multitask and meet tight deadlines (experience)
  • Exceptional attention to detail (experience)

Preferred Qualifications

  • Knowledge of index rebalances, funds, ETFs, and related mechanisms. (experience)
  • Experience working with risk models/attribution tools such as BarraOne (experience)
  • Familiarity with Linux, shell scripting, and automation tools. (experience)

Responsibilities

  • This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams. The successful candidate will be a fast-learning, dynamic, pro-active and self-motivated individual who can assist the team in maintaining and analyzing referential data, as well as generating ad hoc performance and market condition reports for clients.
  • The expected working hours will be 2:30 PM (IST) to 10:30 PM (IST)
  • Analyze events related to index rebalances, including flow estimation, quantitative and qualitative assessments, and reporting
  • Respond to client requests, including bespoke analysis related to index events, corporate actions, and market structure changes
  • Share insights through emails and presentations by preparing deep-dive analytical content on index events, corporate actions, and market microstructure
  • Prepare scenario analysis and historical performance backtests for potential index events
  • Collaborate regularly with cross-functional teams including Sales, Trading, and Strats

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