Member of Research Staff, Reinforcement Learning
Voleon Securities is seeking an experienced and creative reinforcement learning researcher to join their ML research group. This role focuses on applying state-of-the-art AI/ML techniques to construct market-making strategies and optimize trading models.
About the job
Responsibilities
- Develop a rich understanding of Voleon’s challenges and methodologies and propose RL research innovations and experiments to build, maintain and optimize the models that govern our trading strategy
- Prepare and analyze new datasets to assess their predictive efficacy
- Develop, validate, and implement new models in production
- Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
- Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes
- Keep up to date on the latest RL academic research to identify novel approaches to explore for application to our domain
Requirements
- Background in reinforcement learning or optimal control with a strong track record of publishing RL papers in top tier conferences
- Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
- Interest in software development techniques and willingness to write production-level code (Python)
- Ability to solve large-scale computing problems with GPUs
- Eagerness to work in a fast paced and growing business
- Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite
- Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred
Skills
Reinforcement Learning, Optimal Control, Python, GPU, Machine Learning, Statistical Modeling
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