MSET QR Strats Analytics -Index Rebal Python _ Vice President _ Institution at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Processing, Pandas, Polars, Numpy, SQL, Statistical Analysis, Financial Concepts, Analytical Skills, Communication Skills, Organizational Skills, Attention to Detail, Index Rebalances, Market Data, Automation, Continuous Improvement

Industry

Financial Services

Description

We’re seeking someone to join our team as a Vice President in Institutional Equity Division. 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 contributing 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. What You’ll Do In The Role Analyze events related to index rebalances, including flow estimation, quantitative and qualitative assessments, and reporting. Design and implement efficient data processing pipeline using modern Python frameworks. Onboarding and analyze data from various internal and external sources. Prepare scenario analyses and historical performance backtests for potential index events. Investigate market data, pricing and analytics issues. Simplification, automation, and support of existing manual processes. Drive continuous improvement in development practices. What You’ll Bring To The Role A degree in quantitative discipline (e.g., BE, BTech, MS in Mathematics, Statistics, Financial Engineering, or Economics). 7+ years of hands-on experience with Python (mandatory). Strong working knowledge of Linux CLI environment. Strong expertise in data processing with Pandas/Polars/Numpy. Proven experience in building data pipelines. Experience with large data sets and SQL for data processing. Strong analytical skills with a solid understanding of statistical and financial concepts. Strong written and verbal communication skills, with the ability to articulate ideas clearly to a non-technical audience. Strong organizational skills with the ability to multitask and meet tight deadlines. Exceptional attention to detail. Good To Have Knowledge of index rebalances, funds, ETFs, and related mechanisms. Experience with market data vendors – Bloomberg, Refinitiv etc. Experience working in the finance industry, demonstrable curiosity in quantitative research and investment. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

The role involves analyzing events related to index rebalances and designing efficient data processing pipelines. The candidate will also prepare scenario analyses and investigate market data issues.