Build the research platform used to create reproducible market studies. You will make large experiments faster without weakening point-in-time integrity or auditability.
Compensation and Benefits
Base salary: $185,000–$260,000 USD, based on experience
Work arrangement: Remote — United States
Experience: 4+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level
About the Role
Build the research platform used to create reproducible market studies. You will make large experiments faster without weakening point-in-time integrity or auditability. You will work with a small team, own important decisions, and document your work so that other specialists can review it. You will also define measurable reliability targets for research jobs and make failed experiments easy to reproduce. The platform must expose clear failure states so researchers can distinguish a data error from a valid negative result.
Responsibilities
- Develop reusable data and backtest infrastructure
- Improve experiment tracking, lineage, and reproducibility
- Optimize large time-series workloads
- Add tests that detect leakage and inconsistent data vintages
Required Qualifications
- Production Python and SQL experience
- Strong knowledge of distributed data systems and numerical workloads
- Experience supporting quantitative researchers
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.