Morgan Stanley Investment Management (“MSIM”), together with its investment advisory affiliates, operates in 23 countries with $1.5 Tn in assets under management or supervision as of December 31, 2023. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.
Riverview Omni is an MSIM multi-manager hedge fund, specializing in market-neutral discretionary and quantitative equity strategies. Riverview Omni Central Trading, Analytics and Risk Management team is seeking a motivated individual to fulfill an Associate role in New York with experience in portfolio optimization, factor modeling, risk analytics and quantitative research. The successful candidate will have regular interaction with the Portfolio Managers to advise on portfolio construction, review exposures and discuss portfolio performance. In addition to that, the risk manager will focus on assessing and managing risk at the master fund level, conducting quantitative research, enhancing existing models and developing new models and tools.
Job Description:
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- Work with portfolio managers on measuring risk, mitigating unwanted exposures, and optimizing portfolios
- Conduct research into new risk measurement techniques, portfolio construction, quantitative trading, and execution optimization.
- Analyze fundamental, market and alternative data and explore alpha signals.
- Closely follow market events, and pro-actively share forward thinking risk analysis with the team, senior management, and PMs.
- Program (in Python) to develop new tools, automate and improve existing systems.
- 3-5 years of relevant job experience, preferably on the buy side in a mutli-manager hedge fund construct
- Strong understanding of equity and futures markets
- Experience with equity risk models, such as MSCI Barra, Axioma, or in-house models
- Deep knowledge of statistical methods and quantitative techniques
- Proficiency with Python and SQL
- Experience processing, cleaning and analyzing large data sets
- Experience with portfolio optimization, stress testing, and simulations
- Excellent verbal communication and relationship management skills
- Ability to work both independently and be a strong team contributor with proactive drive to deliver results
- Outstanding attention to detail and committed to process and related improvements
- Flexible, quick learner with the ability to multi-task
- Advanced degree in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, or a closely related field from an accredited university
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. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Expected base pay rates for the role will be between $70,000 and $150,000 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.
