Quantitative Developer — Research Systems — Atlanta

Based in the Atlanta, GA area, this fully remote Quantitative Developer — Research Systems will build the research platform used to create reproducible market studies at scale. The operating schedule centers on Eastern Time coordination of pre-market readiness and full-session operating decisions.

Compensation and Benefits

• Base salary: $185,000–$260,000 USD, based on experience
• Work arrangement: Fully remote; applicants must be based in the Atlanta, GA area
• Experience: 4+ years
• Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The Atlanta, GA position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Eastern Time coordination of pre-market readiness and full-session operating decisions. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Atlanta Operating Focus

The Atlanta opening emphasizes scalable processes, fast cross-team communication, and strong production accountability. Eastern Time coverage begins with production readiness and continues through the complete U.S. cash session. The opening coordinates fast responses across research, engineering, trading, and risk while keeping decision authority clear. Repeated manual work is converted into a documented control only after its inputs and failure cases are understood. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time coordination of pre-market readiness and full-session operating decisions.

First Review Cycle

Your first documented cycle for the Atlanta, GA opening will test the operating process for research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time coordination of pre-market readiness and full-session operating decisions. The objective is a reproducible baseline, not a quick narrative. One required check is: Develop reusable data and backtest infrastructure. The next required check is: Improve experiment tracking, lineage, and reproducibility. The Atlanta opening emphasizes scalable processes, fast cross-team communication, and strong production accountability. You will identify any assumption that remains untested after both checks. The final note will connect the outcome to research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads and give another specialist enough detail to challenge the decision without a separate meeting.

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 coordination of pre-market readiness and full-session operating decisions.

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 Atlanta, GA 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.

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.