Senior Member of Research Staff, Voleon Securities
Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.
About the job
Responsibilities
- Develop a rich understanding of Voleon Securities' 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 trading environment
- Build collaborative relationships cross-functionally and with key contacts outside your own area of expertise, with the potential to serve as an external spokesperson for Voleon Securities
- Communicate and collaborate effectively with key stakeholders at each stage, facilitating meaningful discussions around complex issues and driving progress towards tangible outcomes
- Mentor other researchers and provide technical guidance, coaching, and feedback
- Keep up to date on the latest academic research to identify novel approaches to explore for application to trading and market prediction
- Contribute to Voleon's efforts to recruit exceptional talent
Requirements
- 5-10+ years of related experience directing key research projects and mentoring colleagues
- Capability to run multiple projects simultaneously, exercising judgment in the methods, techniques, and evaluation criteria for determining results
- Ability to make well-reasoned design decisions, identifying and proactively potential issues, tradeoffs, risks, and the appropriate level of abstraction
- Proven success solving large-scale computing problems
- Expertise 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
- Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
- Strong skills in software development techniques and production level coding (Python and/or R preferred)
- Effective at communicating complex technical issues simply and transparently, including writing insightful documentation
- Ability to influence without requiring formal authority, with a proven track record of influence beyond your team
- Interest in financial applications is essential, but prior finance industry experience is not a prerequisite
- Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred
Skills
Machine Learning, Deep Learning, Deep Rl, Optimal Stochastic Control, Causal Inference, Python, R, Statistical Methods, Large-Scale Computing
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