DESCRIPTION

Role: Research Strats (Full Time)

Location: Mumbai

Shift: Candidate might have to be open to work for North America and EMEA timelines

About Us: Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.  

At Morgan Stanley India, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics.

We are looking for highly motivated quantitative strategists for our Research Strats team. The individual will work closely with a team of fixed income research strategists in New York and London to help expand our analytics toolkit, analyze data sets to identify trends and patterns and apply statistical and machine learning techniques to produce cutting edge insights for Research publication.

We offer high impact projects with peers in New York and London. Your contributions will be visible and you will have the opportunity to gain insight into the fascinating world of banking and finance, coauthor and publish research reports, and interact with Morgan Stanley clients.

RESPONSIBILITIES

Work with fixed income research strategists globally to develop and maintain data analysis infrastructures

Acquire, clean, maintain, and analyze data sets to identify trends and patterns

Develop quantitative models using econometrics and machine learning algorithms

Build web applications to monitor market movements and develop interactive tools to make quantitative models user friendly

Respond to bespoke data analysis requests from clients and internal stake holders

Automate delivery of reports and data-packs to clients

QUALIFICATIONS

QUALIFICATIONS/SKILLS/REQUIREMENTS

Master's degree or higher in a quantitative field such as Financial Mathematics, Statistics, Data Science, Engineering, Physics, or Economics

Fresh graduate or 1-4 years of experience in relevant roles

Experience with statistical model development, modeling best practices and methodologies in the areas of data processing, sampling, model design/specification

Hands on experience in any programing language (Python, C++, Q, Perl, JavaScript)

Excellent verbal, written, and interpersonal communication skills

A genuine interest and understanding of financial markets

Candidates should be analytical, insightful, quick learners, team players, multi-taskers, with a positive attitude