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