Senior Associate - MSET QR Strats Analytics -Index Rebal_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 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 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.

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

The key elements of the role are -
• Working on problems associated with Index rebalances such as data preparation from highly complex sources, estimation of flows, Quantitative and qualitative analysis and reporting.
• Working on complex client asks and creating reports around Index events, market structure changes
• Extensive data analysis and data engineering which includes Data preparation, Feature engineering, strategies /optimization
• Develop strategic solutions using quantitative techniques
• Construction of reusable components to process and access complex data
• Automation of quantitative methods and construction of complex data handling techniques which includes data from diverse data sources across the firm (-reduces time/space complexity)
• Explore large data handling applications and programming techniques

Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.
• 2-4 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 desirabl
• 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
• Market knowledgeable on Index rebalances, Funds, ETFs, and mechanisms
• Experience with Linux, shell scripts, and automation
• Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server

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