2022 Fixed Income Division - Research Spring/Fall Intern Program (Mumbai)
Morgan Stanley
Indien, Mumbai
Gepostet vor etwa 17 Stunden Permanent Competitive
2022 Fixed Income Division - Research Spring/Fall Intern Program (Mumbai)
About Fixed Income Research Team Fixed Income strategists analyze a broad cross section of asset classes including Interest Rates, Corporate Credit, Municipals, Foreign Exchange, Emerging Markets and Securitized Products to identify key macro trends and relative value within and across the asset classes and help our clients in their investment process. About Research Strategy Internship The Spring Program is a 6-month internship program designed as an opportunity to learn more about the important role that Fixed Income Research plays within the Firm. This structured program is designed to give interns insight into this division and an opportunity to develop and master the analytical, quantitative, and interpersonal skills needed to develop an exciting and rewarding career. The training will continue throughout the course of the program with structured learning sessions run by senior executives. 2 Interns will also have many opportunities to integrate with peers and senior colleagues through a series of networking, social, and mentoring events. Roles 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. What We Look For Master's degree or higher in a quantitative field such as Financial Mathematics, Statistics, Data Science, Engineering, Physics, or Economics. 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. Genuine interest and understanding of financial markets. Analytical, insightful, quick learner, team player, and multi-tasker with a positive attitude. 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.