Member of Research Staff
Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.
About the job
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 investment 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
- 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 and/or R preferred)
- Ability to solve large-scale computing problems
- Eagerness to work in collaborative and diverse teams
- 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
Machine Learning, Statistical Methods, Python, R, Data Analysis, Predictive Modeling, Large-Scale Computing, Financial Modeling
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