
MSIM- Emerging Markets- Quantitative Portfolio Analyst
Morgan Stanley, Boston, MA, United States
Morgan Stanley Investment Management’s Emerging Market Debt Department manages over $30 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.
Primary Responsibilities
Works directly with senior portfolio managers, analysts, and traders on a variety of projects of a quantitative nature. Examples include backtesting various strategies, designing portfolio construction approaches, and pre-trade analysis of quotes.
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# 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.
Applicants may be asked to provide an academic transcript to support proficiency with respect to certain technical skills required for the role.
Expected base pay rates for the role will be between $90,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
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Primary Responsibilities
Works directly with senior portfolio managers, analysts, and traders on a variety of projects of a quantitative nature. Examples include backtesting various strategies, designing portfolio construction approaches, and pre-trade analysis of quotes.
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# 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.
Applicants may be asked to provide an academic transcript to support proficiency with respect to certain technical skills required for the role.
Expected base pay rates for the role will be between $90,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
#J-18808-Ljbffr