MSET QR Client Analytics Role, Senior Manager, Institutional Equity Division
senior
AnalyticsData & AI
0 views0 saves0 applied
Quick Summary
Overview
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.
Technical Tools
AnalyticsData & AI
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.
Location & Eligibility
Where is the job
Not specified
Location terms not specified
About this job
- Posted
- Today
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 28, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
Similar Analytics jobs
View all →Remote
Implementation Engineer, Analytics & Tag Management
USD 90,000–110,000 per year
Full-time USARemote
Principal Analytics Lead (m/f/d)
Data & Analytics Intern - January 2027
Remote
Head of Analytics & Experimentation (CRO & Customer Journey)
$125,000–$150,000
Full-timeRemote
Remote
Adobe Analytics (CJA) Consultant
$80–$92 per hour
Full-timeRemote
Remote
Manager, Healthcare Analytics
Full-timeRemote
Browse Similar Jobs
Business Analyst2.5kData Science2.4kData Architect532Machine Learning419Database Administrator402Business Intelligence322Risk Analyst282Business Intelligence Analyst193Database Engineer139AI Engineer122Quantitative Analyst107Data Modeler103Ai Research Engineer98Operations Data Engineer77Optimization Engineer76Machine Learning Scientist75Master Data Specialist67Data Quality Analyst59Research Scientist55Fraud Analyst52
Newsletter
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
A
B
C
D
No spam. Unsubscribe at any time.