Quantitative Developer — Research Systems — Raleigh

From Raleigh, NC, the fully remote Quantitative Developer — Research Systems will build the research platform used to create reproducible market studies at scale. This opening is limited to applicants based in the Raleigh, NC area and provides Eastern Time collaboration across quantitative research, data systems, and market operations.

Compensation and Benefits

About the Role

The central responsibility of the Raleigh, NC opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Eastern Time collaboration across quantitative research, data systems, and market operations. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Raleigh Operating Focus

The Raleigh opening emphasizes reproducible analysis, strong technical partnerships, and disciplined production review. The opening works across quantitative research, data engineering, and market operations, so interface quality matters as much as individual analysis. Inputs, outputs, owners, and failure behavior must be explicit. Eastern Time coverage also allows a complete production review before results move into an overnight research or data workflow. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time collaboration across quantitative research, data systems, and market operations.

First Review Cycle

The initial Raleigh, NC review combines Eastern Time collaboration across quantitative research, data systems, and market operations with a controlled examination of research-platform reliability, experiment lineage, and large time-series workloads. Each material observation needs a source, a time, and a defined owner. One required check is: Add tests that detect leakage and inconsistent data vintages. The next required check is: Develop reusable data and backtest infrastructure. The Raleigh opening emphasizes reproducible analysis, strong technical partnerships, and disciplined production review. You will identify any assumption that remains untested after both checks. At the end of the cycle, you will show how the evidence supports or challenges research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Open questions stay visible until another review resolves them.

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
• Own research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time collaboration across quantitative research, data systems, and market operations.

Required Qualifications

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

Preferred Qualifications

• Experience with workflow orchestration, columnar data, and cloud research environments
• A record of improving speed without weakening correctness or auditability
• Experience collaborating across time zones while maintaining the operating coverage assigned to the Raleigh, NC opening.

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

Benefits are subject to plan terms and eligibility requirements.

How to Apply

Submit a current resume through the application form for the Raleigh, NC opening. A short cover letter is optional. We will contact qualified applicants about the interview process and next steps.

Equal Opportunity

Anemoi provides equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other status protected by applicable law.