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Institutional Equity Division - Manager, MSET QR Strats Capital Market Specialist (Mumbai)

Morgan Stanley

Full time
Experience
5+ years
Location
India
Work mode
Not stated
Posted 7 days ago

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Role at a glance

You will
  • This role, based in Mumbai, requires the individual to work closely with global Morgan Stanley Quantitative Research teams..
  • The successful candidate will be a fast-learning, detail-oriented, proactive, and self-motivated individual responsible for analyzing…
  • The role involves reviewing company filings, exchange disclosures, shareholder data, vendor feeds, and other public sources to assess…
Experience
5+ years
Must-have skills
Data Analysis

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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 closely with global Morgan Stanley Quantitative Research teams.. The successful candidate will be a fast-learning, detail-oriented, proactive, and self-motivated individual responsible for analyzing, calculating, and reviewing free float for global equities. The role involves reviewing company filings, exchange disclosures, shareholder data, vendor feeds, and other public sources to assess float-relevant ownership changes and their impact on shares outstanding, investable market capitalization, index weights, and benchmark treatment. The candidate will also monitor corporate actions, support client and internal queries, and produce high-quality written analysis explaining complex float cases, methodology interpretation, and market impact.

The expected working hours will be 7:30 am (local time) to 4:30 pm (local time)

What You’ll Do In The Role

  • Responsible for analyzing, calculating, and reviewing free float for global equities in line with equity benchmark methodology and index implementation rules.
  • Review company filings, exchange disclosures, regulatory announcements, shareholder data, vendor feeds, and other public sources to identify float-relevant ownership changes.
  • Assess the impact of strategic holdings, government ownership, founder/promoter holdings, cross-shareholdings, employee trusts, lock-up shares, treasury shares, foreign ownership limits, and other restricted holdings on free float.
  • Perform detailed float calculations and determine investable shares, float factors, shares outstanding, and resulting index weight impacts.
  • Monitor corporate actions such as M&A, spin-offs, placements, buybacks, secondary offerings, rights issues, IPO lock-up expiries, restructurings, and share class changes to assess their impact on float and index treatment.
  • Partner with global teams to respond to client and internal queries related to free float, shares outstanding, index weights, corporate actions, and equity benchmark methodology.
  • Produce high-quality written analysis, emails, and presentations explaining complex float cases, methodology interpretation, and market impact.

Core Requirements

We are looking for a confident and outgoing individual, who has exceptional attention to detail and takes initiative.

  • 5+ years of experience in the financial services industry, with direct experience in equity markets, index products, benchmark methodology, corporate actions, or market data.
  • Strong practical understanding of free float methodology, shares outstanding, investable market capitalization, float factors, and index weight calculations.
  • Experience reviewing company filings, shareholder structures, ownership disclosures, exchange announcements, regulatory filings, and vendor data to determine float eligibility.
  • Ability to analyze complex ownership structures, including promoter/founder holdings, government stakes, strategic investors, crossholdings, employee ownership plans, lock-up shares, treasury shares, and restricted securities.
  • Demonstrated experience calculating free float and assessing the impact of float changes on index membership, index weights, size classification, style classification, and market representation.
  • Strong knowledge of corporate actions that affect float, including M&A, spin-offs, IPOs, lock-up expiries, placements, buybacks, rights offerings, share conversions, and reorganizations.
  • Experience with Asia and EU/EMEA equity markets is a plus, particularly in relation to corporate actions, ownership disclosures, float assessment, and index methodology application.
  • Exceptional attention to detail, with a strong control mindset and ability to manage time-sensitive calculations accurately.
  • Strong Excel and data analysis skills are required. Experience with Bloomberg, Refinitiv, FactSet, corporate action vendors, SQL, Python, or data visualization tools is a plus.
  • Degree in quantitative or finance-related disciplines such as Engineering, Mathematics, Statistics, Financial Engineering, Economics, or Finance.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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.

Key skills

Required

Data Analysis

Preferred

Data VisualizationPythonSQL

Soft skills

Attention to DetailOwnership

About company

At Morgan Stanley we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values.We are dedicated to providing first-class service to our clients in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society. Explore the exceptional ideas generated by our industry thought leaders about Personal Finance, Market Trends, Tech, Sustainability, and more.

Job market insights

703active Data Analysis jobs in India
85 more open jobs at Morgan Stanley

Jobs asking for Data Analysis in India also ask for

  • SQL34%
  • Python32%
  • Power BI21%
  • Stakeholder Management16%
  • Tableau15%

From live job posts on CoreHRx, updated 1 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

How much experience does this job need?

The post asks for 5 Yrs experience.

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Morgan Stanley's website. CoreHRx takes you there after you sign in.

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