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**Senior Manager, MSET QR Index Rebal Strategy Role, Institutional Equity Division** Lead Senior Index Rebal Team. Analyze index rebalance flows and events in Mumbai (2:30 PM - 10:30 PM IST). Requires 6-8 years financial sector experience, quantitative degree, Python proficiency, and market microstructure familiarity. Collaborate cross-functionally. Excellent communication skills needed. Good to have: index rebalance knowledge, BarraOne risk model experience, and Linux/shell scripting familiarity. Join Morgan Stanley's diverse, globally leading team.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full 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 worlds 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 Stanleys 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 Stanleys 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 Youll Do In The Role
- 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
What Youll Bring To The Role
- 6-8 years of experience in the financial sector, with hands-on exposure to equity markets
- Excellent 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 datasets
- Familiarity with general trading concepts and market microstructure
- Strong organizational skills with the ability to multitask and meet tight deadlines
- Exceptional attention to detail
Good To Have Skill
- Knowledge of index rebalances, funds, ETFs, and related mechanisms.
- Experience working with risk models/attribution tools such as BarraOne
- Familiarity 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 thats differentiated and weve 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 - arent 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, youll 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. Theres 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.




