Quantitative Developer — Research Systems

Anemoi Predictive Technology LLC.; United States; À distance; USD 185 000 - 260 000; Plein temps

Avantages offerts par ce poste

Medical/dental/vision

401(k) match

Flexible PTO

Parental leave

Learning budget

Remote workspace support

Bonus & equity

Résumé du poste

Anemoi Predictive Technology LLC is seeking a Senior Data Platform Engineer to build a research platform for reproducible market studies. You will work remotely across the United States with a small team, own important decisions, and document your work so others can audit outcomes.

Responsibilities include developing reusable data and backtest infrastructure, improving experiment tracking, and optimizing large time-series workloads.

Qualifications

• Production Python and SQL experience.
• Strong knowledge of distributed data systems and numerical workloads.
• Experience supporting quantitative researchers.

Responsabilités

• 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

Connaissances

Python

SQL

Distributed data systems

Quantitative research support

Description du poste

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