Job Description

Morgan Stanley Investment Management (“MSIM”), together with its investment advisory affiliates, has more than 1,100 investment professionals around the world and $1.6 trillion in assets under management or supervision as of December 31, 2021. Morgan Stanley Investment Management strives to provide strong long-term investment performance, outstanding service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.

Morgan Stanley Investment Management’s Emerging Market Debt Department manages over $15 billion across multiple absolute return, fixed income, and equity investment strategies. The group employs a top down, country by country investment process that focuses on analyzing the political and economic conditions in countries around the globe. Its funds’ investment strategies employ a wide range of financial instruments including sovereign and corporate credit, foreign exchange, interest rate and credit derivatives, commodities, and equities. The department invests directly in almost all global markets and frequently in emerging and frontier markets. Work with portfolio managers and traders on the management and implementation of the portfolios along with projects to identify investment ideas to improve investment performance.

Primary Responsibilities:

- Work directly with senior portfolio managers, analysts and traders on a variety of projects of a quantitative nature.

- Organize and analyze large data sets using various statistical methods such as regressions, Monte Carlo simulations, and machine learning.

- Conduct portfolio analysis leading to investment decisions resulting from findings.

- Design and build applications to analyze and visualize data for the purpose of research and portfolio management.

 QUALIFICATIONS

- Bachelor’s degree with a major in economics, finance, or quantitative subjects. Work towards CFA is a plus.

- 1-3 years of related experience.

- Programming skills in Python, SQL, C#, R or other languages.

- Experience with visualization software, such as Tableau, is a plus.

- Self-starter with an ability to work independently, and a strong sense of intellectual curiosity.

- Excellent verbal, written and interpersonal communication skills are essential.

- Strong Microsoft Excel skills.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.