Quantitative Developer — Research Systems — Fresno

From Fresno, CA, 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 Fresno, CA area and provides Pacific Time review of late-session liquidity and next-day research readiness.

Compensation and Benefits

About the Role

In this Fresno, CA role, you will be accountable for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads while supporting Pacific Time review of late-session liquidity and next-day research readiness. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

Fresno Operating Focus

The Fresno opening emphasizes complete close analysis, dependable data checks, and clear overnight handoffs. The Pacific Time schedule gives this opening ownership of close behavior, late data checks, and preparation for the following session. Any unresolved discrepancy must be visible before overnight processing begins. The handoff describes whether the issue affects research, production, execution, or only a non-critical reporting process. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time review of late-session liquidity and next-day research readiness.

First Review Cycle

In Fresno, CA, the first formal review will assess research-platform reliability, experiment lineage, and large time-series workloads under the normal controls used for Pacific Time review of late-session liquidity and next-day research readiness. Any proposed response must remain within an approved limit. One required check is: Improve experiment tracking, lineage, and reproducibility. The next required check is: Optimize large time-series workloads. The Fresno opening emphasizes complete close analysis, dependable data checks, and clear overnight handoffs. You will identify any assumption that remains untested after both checks. Before the review closes, you will state what changed, what did not change, and what needs more evidence. A peer must be able to follow the result back to research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads.

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 Pacific Time review of late-session liquidity and next-day research readiness.

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 Fresno, CA 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 Fresno, CA 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.