Quantitative Developer — Research Systems — Baltimore

Based in the Baltimore, MD 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 preparation for the open, intraday risk review, and close control.

Compensation and Benefits

About the Role

This opening gives the Baltimore, MD hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on Eastern Time preparation for the open, intraday risk review, and close control. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Baltimore Operating Focus

The Baltimore opening emphasizes evidence quality, prompt escalation, and clear separation of research from live decisions. Pre-market work confirms that research inputs and operating controls are ready before risk is active. During the session, the opening separates evidence collection from authority to change production behavior. Close review checks that escalation decisions were proportional, documented, and assigned to the correct follow-up process. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time preparation for the open, intraday risk review, and close control.

First Review Cycle

Your first documented cycle for the Baltimore, MD opening will test the operating process for research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time preparation for the open, intraday risk review, and close control. The objective is a reproducible baseline, not a quick narrative. The operating test starts with this task: Optimize large time-series workloads. It continues with this task: Add tests that detect leakage and inconsistent data vintages. The Baltimore opening emphasizes evidence quality, prompt escalation, and clear separation of research from live decisions. The findings must distinguish confirmed evidence from an early explanation. 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 Eastern Time preparation for the open, intraday risk review, and close control.

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 Baltimore, MD 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 Baltimore, MD 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.