Member of Research Staff, Causal Inference, Voleon Securities
Core
Develop causal inference research innovations and experiments to build, maintain, and optimize predictive models for financial market prediction and portfolio optimization.
Role type
Research scientist (causal inference)
Builds
Production-level predictive models for market microstructure and trading strategies
Domain
Financial markets / Causal inference / Machine learning
Deliverable
production ML models
Required skills
Causal inference, Statistics, Mathematical modeling, Python, Academic research, Experimental design
Preferred skills
Ph.D. degree, Publication record in top-tier venues, Software development techniques
Technologies
Python
Responsibilities
Propose causal inference research innovations and experiments to build, maintain, and optimize models of the market; Prepare and analyze new market datasets to gain insight into market microstructure; Design and conduct synthetic and live trading experiments to sharpen understanding of market behavior; Keep up to date on the latest causal inference academic research to identify novel approaches to explore for application to the domain
Seniority
Senior, hands-on IC
