The Voleon Group
Member of Research Staff, Causal Inference, Voleon Securities
$250K–$275K
New York City, NY +2 · Hybrid · Staff · Full-time · Posted Aug 17, 2026
- Location
- New York City, NY
Remote, United States
Berkeley, CA - Education
- Ph.D.-level coursework required; a Ph.D. degree in a relevant field is preferred.
- Visa sponsorship
- Relocation and work visa eligibility for qualified candidates
About the job
Conduct causal-inference research and develop, validate, and implement models for financial-market prediction and portfolio optimization, from basic research through live-trading evaluation.
What you'll do
- Develop causal-inference research ideas and experiments to build, maintain, and optimize market models.
- Prepare and analyze market datasets; develop and validate model improvements and conduct synthetic and live-trading experiments.
- Collaborate with research and software engineering colleagues, and track current causal-inference research.
What they ask for
- Ph.D.-level coursework required.
- Background in causal inference and statistics, with a strong record of publishing causal-inference papers in top-tier journals and conferences.
- Evidence of strong mathematical abilities.
- Interest in software development and willingness to write production-level code in Python; interest in financial applications is essential.
Nice to have
- Ph.D. degree in a relevant field.
Pay
$250K – $275K (base salary); bonus amount not stated
Tools
Python
AI focus
Applies AI/ML and causal-inference research to financial-market prediction, liquidity-provision strategies, and portfolio optimization.
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