Member of Research Staff, Voleon Securities
Core
Develop and implement AI/ML models for financial market prediction and portfolio optimization to construct liquidity-provision strategies.
Role type
Applied research scientist (AI/ML for finance)
Builds
Liquidity-provision strategies and predictive models for securities markets
Domain
Financial markets / Machine Learning
Deliverable
production ML models
Required skills
optimal stochastic control, deep reinforcement learning, deep learning, causal inference, statistical machine learning, Python, large-scale computing
Preferred skills
building liquidity providing strategies, software development techniques
Technologies
Python
Responsibilities
Propose research innovations to build, maintain, and optimize trading strategy models; Prepare and analyze new datasets to assess predictive efficacy; Develop, validate, and implement new models into production; Design and conduct experiments to evaluate model success in live environments; Collaborate with research staff and software engineers to drive progress; Keep up to date on latest academic research to identify novel approaches
Seniority
Senior, hands-on IC