MSET QR Client Analytics Role, Senior Manager, Institutional Equity Division

Morgan-Stanley; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Morgan Stanley in Mumbai seeks a talented Quantitative Research professional to join the QR group focusing on equity pricing, models, and data-driven insights. You will collaborate with global teams and contribute to the equity trading engines used by internal and client desks.

The role requires 4–6 years in finance, strong programming in Python or R, data pipeline construction, and excellent communication.

Qualifications

• 4–6 years in financial sector with direct practical experience in equity markets.
• Bachelor or Master 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 and data processing pipelines

Responsibilities

• 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

Skills

Data analysis at scale

Strong communication

Analytical reasoning

Problem decomposition

Education

Bachelor or Master in Finance, Economics or Mathematics

Engineering degree preferred

CA/CFA/FRM/MBA equivalents

Tools

Python

R

Linux

SQL

KDB+

Sybase

MS SQL Server

Job description

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.