Develop and test systematic equity research across sectors, factors, and market regimes. This role owns the full path from a falsifiable idea to a reproducible research result.
Compensation and Benefits
Base salary: $175,000–$245,000 USD, based on experience
Work arrangement: Remote — United States
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level
About the Role
Develop and test systematic equity research across sectors, factors, and market regimes. This role owns the full path from a falsifiable idea to a reproducible research result. You will work with a small team, own important decisions, and document your work so that other specialists can review it.
Responsibilities
- Form hypotheses and build clean point-in-time equity datasets
- Test signal stability, turnover, capacity, and transaction-cost sensitivity
- Run walk-forward and out-of-sample evaluation
- Present both favorable and unfavorable results to the investment team
Required Qualifications
- Three or more years in quantitative research, data science, or systematic investing
- Python and SQL proficiency with strong probability and statistics
- Clear understanding of backtest bias and model validation
Preferred Qualifications
- Experience with financial markets, market data, or institutional trading systems.
- A record of clear written communication and careful review of high-impact work.
Benefits
- Medical, dental, and vision plan options with substantial company support
- 401(k) plan with company matching
- Flexible paid time off and company holidays
- Paid parental and caregiver leave
- Annual learning, conference, and professional-development budget
- Remote-work equipment and home-office support
- Performance-bonus and equity eligibility based on role and level
How to Apply
Submit a current resume through the application form. A short cover letter is optional. We will review your experience and contact qualified candidates about the interview process and next steps.