Job Description

Role: Research Strats (Full Time)

Location: Mumbai

Shift: Candidate must be open to working 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 stakeholders

- Automate the delivery of reports and data-packs to clients

QUALIFICATIONS/SKILLS/REQUIREMENTS:

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

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

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

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

- Excellent verbal, written, and interpersonal communication skills

- A genuine interest and understanding of financial markets

- Analytical, insightful, quick learners, team players, multi-taskers, with a positive attitude

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.

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

For further information, and to apply, please visit our website via the “Apply” button below.