Quantitative Developer — Research Systems — Philadelphia

Based in the Philadelphia, PA 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 research review before the open and throughout the U.S. cash session.

Compensation and Benefits

About the Role

This opening gives the Philadelphia, PA hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on Eastern Time research review before the open and throughout the U.S. cash session. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Philadelphia Operating Focus

The Philadelphia opening emphasizes evidence-first decisions, documented challenge, and orderly production handoffs. The workday reserves focused time before the open for independent evidence review and challenge. During live markets, the role must distinguish a normal deviation from a condition that needs escalation. At the close, open questions move into a short written queue with a named owner and a required follow-up date. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time research review before the open and throughout the U.S. cash session.

First Review Cycle

The Philadelphia, PA opening begins with an end-to-end review of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time research review before the open and throughout the U.S. cash session. The review will keep research observations separate from live production decisions. One required check is: Optimize large time-series workloads. The next required check is: Add tests that detect leakage and inconsistent data vintages. The Philadelphia opening emphasizes evidence-first decisions, documented challenge, and orderly production handoffs. You will identify any assumption that remains untested after both checks. The closing summary must show whether the evidence supports a change or only further study. It must let another specialist evaluate research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads without private context.

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 research review before the open and throughout the U.S. cash session.

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 Philadelphia, PA 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 Philadelphia, PA 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.