Open House on the 24th, - 12 mid day to 5 pm.

Senior Associate – MSET Support Role QR

Category: Product ID: 1364


About the job

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.

Primary Responsibilities

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.

We are looking for a quantitative researcher for our quantitative research team. Quantitative researchers collaborate closely with quantitative researchers, MSET business partners and Technology to enhance the performance and product offering of our equity trading algorithms.

The expected working hours will be 07:30 Am (local time) 4:30 pm (local time)

The key elements of the role are –

  • Extensive data analysis and engineering covering but not limited to transformation, extraction, feature engineering
  • Engineering strategic solutions to manage this data and make it available to other members of the team
  • Construction of reusable components to process and access data
  • Automate construction of complex data models consisting of data from diverse data sources across the firm
  • Assist in the construction and calibration of models relating to various quantitative problems
  • Explore the application of Machine Learning techniques to current data and client trading

Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.

  • An advanced degree from a strong program that focuses on Machine Learning/Data Science/Computer Science/Physics/Mathematics/Statistics 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
  • Strong written and verbal communication skills.

Complementary Skills

  • Previous experience in application of ML techniques to large datasets
  • An understanding of feature engineering from data.
  • Additional experience with time series modeling techniques is an advantage.
  • Experience with Linux, shell scripts and automation

Posting Date

Oct 6, 2022

Primary Location

Non-Japan Asia-India-Maharashtra-Mumbai (MSA)

Education Level

Refer to Position Description


Investment Banking/Sales/Trading/Research

Employment Type

Full Time

Job Level

Senior Associate