Senior Member of Research Staff, Technical Lead
Leads original statistical machine learning research for financial market prediction and portfolio optimization while setting a team’s research agenda, mentoring researchers, and guiding projects through evaluation and productionization. Requires strong mathematical foundations, research leadership experience, and Ph.D.-level coursework.
About the job
Responsibilities
- Lead and conduct original research on predictive models, novel data sets, risk management, and portfolio optimization.
- Develop a rich understanding of Voleon's domain, challenges, and methodologies.
- Define the research agenda of a research team and oversee its execution.
- Establish and maintain standards of scientific rigor, excellence, expediency, and correctness.
- Mentor, coach, and provide technical guidance to other research staff.
- Communicate and collaborate with stakeholders, facilitating discussions around complex issues.
- Keep up to date on the latest academic research to identify novel approaches for application to the domain.
- Collaborate with engineering support teams to deploy successful research projects to production.
- Contribute to efforts to recruit exceptional talent.
Requirements
- 3+ years of experience directing research projects and mentoring colleagues, with the ability to balance hands-on technical work with team leadership.
- Experience building and growing research teams in a collaborative environment.
- Expertise in modern statistical methods and machine learning and their application.
- Strong mathematical foundations, evidenced by a publication record, graduate coursework, or competition placement.
- Clarity of thought and ability to communicate complex technical issues simply and unambiguously.
- Ability to make well-reasoned decisions, anticipate research outcomes, and pose and validate hypotheses.
- Capability to run multiple projects simultaneously and operate large-scale compute infrastructure.
- Interest in financial applications; prior finance industry experience is not required.
- Ph.D.-level coursework required; a Ph.D. degree in a relevant field preferred.
Benefits
- Competitive compensation and benefits packages.
- Technology talks by experts.
- Modern office.
- Daily catered lunches.
- Collegial working environment and healthy work-life balance.
Skills
Machine Learning, Statistical Methods, Statistical Modeling, Mathematical Foundations, Portfolio Optimization, Risk Management, Predictive Models, Numerical Software, Compute Infrastructure, Python
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