Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. We are seeking a senior researcher to lead feature engineering for predictive models.
Requirements
- Demonstrable clarity of thought
- Grit, in large quantities
- 7+ years of experience in quantitative finance, signal research, or predictive modeling, including at least 2 years leading research teams or initiatives
- Strong scientific programming skills in Python and/or R; experience with SQL or Spark is a plus
- Deep understanding of financial markets, company fundamentals, econometrics, and financial-economic models
- Extensive experience designing features for use in machine-learning pipelines or research environments (e.g., PyTorch, scikit-learn)
- Master's degree in a relevant quantitative field
- Preferred: Ph.D. in a quantitative field, experience managing globally distributed research or data-analysis teams, familiarity with alternative data
Benefits
- Medical, dental and vision coverage
- Life and AD&D insurance
- 20 days of paid time off
- 9 sick days
- 401(k) plan with a company match