Member of Research Staff, Voleon Securities (New York)

Responsibilities

• Develop a rich understanding of Voleon’s challenges and methodologies and propose 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 into 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 academic research to identify novel approaches to explore for application to our domain

Requirements

• Background in modern statistical methods and machine learning with a track record as an applied researcher, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference
• Hands-on experience building successful liquidity providing strategies across asset classes preferred but not required
• 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
• 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