Associate, Quantitative Researcher - Systematic Active Equity
Core
Conduct cutting-edge research across financial markets, machine learning, and economics to discover and develop novel sources of alpha for systematic active equity strategies.
Role type
Associate quantitative researcher (systematic active equity)
Builds
Live investment strategies managing significant institutional capital
Domain
Asset Management / Quantitative Equity / Machine Learning
Deliverable
production ML models | product features
Required skills
statistical analysis, econometric modeling, machine learning, artificial intelligence, data science, backtesting, hypothesis testing, Python, SQL, C++, R
Preferred skills
experience with alternative datasets, knowledge of financial markets, ability to translate research into live strategies
Technologies
Python, SQL, C++, R, machine learning frameworks, data processing pipelines
Responsibilities
Discover and develop novel sources of alpha using traditional and alternative datasets; Apply statistical, econometric, machine learning and AI techniques to identify new investment opportunities; Conduct rigorous empirical research, simulation and backtesting to validate investment hypotheses; Build robust research pipelines and scalable analytical tools; Partner with researchers, portfolio managers and engineers to implement successful ideas into live investment strategies; Present research findings and contribute to the evolution of the investment process.