Quantitative Researcher
Core
Developing investment ideas, codifying them into signals, and back-testing to drive trading decisions in a systematic investment process.
Role type
Quantitative Researcher
Builds
Investment models, signals, and portfolio construction research for global equity portfolios
Domain
Systematic finance, quantitative investment, asset pricing
Deliverable
production ML models
Required skills
statistical analysis, time-series analysis, linear algebra, calculus, optimization, portfolio theory, econometrics, Python, R, MATLAB, Stata, large dataset analysis, finance (equities/derivatives)
Preferred skills
empirical asset pricing, financial data products, stock market datasets, LLMs, coding agents
Technologies
Python, Stata, R, MATLAB
Responsibilities
performing exploratory statistical analysis, researching predictable patterns in asset returns, writing production-quality code, assessing data quality, performing portfolio construction research, designing data feeds
Seniority
Junior to Mid-level, hands-on IC