Machine Learning Quantitative Research Analyst
Core
Advancing new research and product development in machine learning, financial econometrics, and data-driven techniques for portfolio management.
Role type
Machine Learning Quantitative Research Analyst
Builds
Thought leadership, market indicators, analytical tools, calculation engines, and client-facing reports
Domain
Finance / Quantitative Research / Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, MATLAB, Excel, PowerPoint, machine learning techniques, financial econometrics, simulation techniques (Monte Carlo, Bootstrap), statistical techniques (regression, PCA), portfolio theory, mean-variance optimization, back testing, asset pricing models, FX market analysis, macro factors analysis
Preferred skills
white paper and journal article authoring, explaining complex concepts clearly
Technologies
Python, SQL, MATLAB, Excel, PowerPoint
Responsibilities
Supporting new research on AI and machine learning applications in economics and finance; co-authoring white papers and journal articles; translating academic research into practical applications and products; building calculation engines; running customized analysis for clients; creating written reports; engaging with clients as a subject matter expert
Seniority
Mid-level, hands-on IC