Summary written by Jobs Hindustan from Morgan Stanley's advert and our data on 8,417 current jobs in India. How we check every job
At a glance
Morgan Stanley has an opening for MSET QR Client Analytics Role, Senior Manager, Institutional Equity Division in Mumbai. It is a full-time role in Data, AI & Analytics, asking for at least 4 years of experience, first listed on 31 October. The description mentions Statistics, Machine learning, Python, Linux and SQL. Morgan Stanley has 83 other openings in India, 56 of them in Mumbai. Across all employers on Jobs Hindustan there are 135 Data & AI openings in Mumbai today; the typical one asks for 5 years.
Skills in this advert
How often each skill named in this advert appears across the 1,222 data & AI jobs we list in India today. Python is the most widely requested (54% of jobs), while Linux is the least common (7%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Morgan Stanley's Workday site on 31 October 2026 and checked it again 4 November at 5:47 am IST. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Mumbai. If you would need to move, ask whether relocation support is offered.
- Match the experience. The advert asks for at least 4 years of experience. If you are a little short, a close match on the skills in the advert can still get you shortlisted.
- Tailor your resume. Use the advert's own words, such as Statistics, Machine learning and Python, wherever they are true for you. Our resume guide shows how.
- Know your notice period. If you are working now, recruiters will ask how soon you can join. Work out your last working day with our notice period calculator, and read our guide to notice periods and resigning.
- Understand any offer. The CTC in an offer letter is not what reaches your bank account each month. Our CTC to in-hand salary calculator gives a rough monthly figure, and our CTC guide explains each part.
- Apply only through Morgan Stanley's own site. Our Apply button goes straight to Morgan Stanley's Workday page. If anyone asks you to pay a registration fee, training fee or security deposit for this job, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Morgan Stanley
Morgan Stanley has 84 openings in India on Jobs Hindustan today across 2 cities. Most are in finance & banking (33), data & AI (17) and software & IT (11). The biggest locations are Mumbai (57) and Bengaluru (19). None of them can be done fully from home, and 10% are open to freshers or interns. We collect Morgan Stanley's jobs every day straight from its own careers system (Workday), never from job boards, agencies or consultants.
The employer's advert
This is Morgan Stanley's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Morgan StanleyHide the advert820 words
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
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.
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 expected working hours will be London hours.
The key elements of the role are –
- Perform in-depth Transaction Cost Analysis (TCA) for enhancing algo performance.
- Bespoke client trading analysis
- Maintaining and analyzing trading and referential data
- Market structure analysis
Core Requirements
We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.
- 4-6 years of experience in the financial sector with direct practical experience in equity markets
- Bachelor or Master's Degree in Finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Engineering degree is preferred
- Able to demonstrate practical mastery of data analysis at scale
- Significant experience in any mathematical/high-level programming language such as Python/R
- Exposure/knowledge of different equity and equity derivatives products is desirable
- Strong written and verbal communication skills
- Practical expertise in constructing data processing pipelines and constructing enriched datasets from diverse sources - internal as well as external
- Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
Complementary Skills
- Experience with Linux, shell scripts and automation
- Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server
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.
Jobs Hindustan copied this listing from Morgan Stanley's official careers site on 30 October 2026 and checked it again 4 November at 5:47 am IST. Morgan Stanley never asks candidates for money. If anyone does, it is a scam.
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