Morgan Stanley is seeking individuals with a master’s degree or higher in a quantitative field, such as Financial Mathematics, Statistics, Data Science, Engineering, Physics, or Economics, to join their team as Associates in Fixed Income Research in Mumbai. This role is open to candidates with 0 to 4 years of experience, offering a great opportunity for both fresh graduates and those with some professional background. As an Associate in Fixed Income Research, new hires will conduct detailed analyses, contributing to the firm’s investment strategies and decision-making processes.
Company Name: Morgan Stanley
Job Role: Associate – Fixed Income Research
Education Required: Master’s degree or higher in a quantitative field such as Financial Mathematics, Statistics, Data Science, Engineering, Physics, or Economics
Experience Required: 0-4 years
Job Location: Mumbai
Role and 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.
Required Skills and Qualifications:
- 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.
