Machine Learning Quantitative Research Analyst
$110,000–$180,000 year
HybridCambridge, Massachusetts, United States
Job Summary
Support the Portfolio Management Research Team by advancing new research and product development using machine learning, financial econometrics, and data-driven techniques. Co-author white papers and journal articles, then translate academic findings into practical applications like publications, market indicators, and analytical tools. Build calculation engines in Python for internal and client-facing systems while running customized analyses and delivering written reports to clients. Engage directly with clients as a subject matter expert on related research. This role involves hybrid remote telecommuting and requires a Master's degree in a quantitative field plus three years of buy-side or sell-side experience.
Required Qualifications
- Master's degree in mathematics, statistics, operations research or related quantitative field
- 3 years of experience in a buy-side or sell-side quantitative research role
- professional hands-on ability with Excel
- professional hands-on ability with PowerPoint
- professional hands-on ability with MATLAB
- professional hands-on ability with Python
- professional hands-on ability with SQL
- experience applying machine learning techniques to financial and economic data
- theoretical and practical concepts in machine learning
- experience working with simulation techniques (Monte Carlo, Bootstrap)
- econometric techniques
- statistical techniques (regression, principle components analysis)
- knowledge of Portfolio theory
- mean-variance optimization
- back testing
- designing investment strategies
- experience with asset pricing models
- FX market analysis
- macro factors that influence the market
- demonstrated written communication skills suitable for authoring white papers and journal articles
- ability to explain complex concepts in a clear and concise manner
- Hybrid remote telecommuting
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