7 months ago
San Francisco, CA, USAEntry Level / Mid Level
Base Salary
$100k - $195k/yr
Responsibilities
- Rapidly implement and iterate on research ideas and model prototypes.
- Clean, process, and join financial and fundamental datasets from various sources.
- Build and maintain scripts for feature generation, back-testing, and model evaluation.
- Run experiments, summarize quantitative results, and report findings to leadership.
- Contribute to code quality through testing, documentation, and integration.
- Support the Head of Engineering in defining data schemas, APIs, and reproducibility standards.
- Directly support the Chief Scientist and CEO by implementing and refining models and workflows.
- Maintain a consistent cadence of deliverables focusing on iteration speed and reliability.
Requirements
- BS or MS in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field.
- Strong Python skills, including pandas, numpy, scipy, and matplotlib; comfort with SQL.
- Experience with real-world datasets and building reproducible analyses or pipelines.
- Basic understanding of statistics, regression, optimization, and ML fundamentals.
- Clear communicator who can explain technical findings to non-specialists.
- Willingness to work in-person in the Bay Area and collaborate closely with a small founding team.
- Professional experience in financial data science.
Benefits
- High quality dental, vision, and health care.