Quantitative Researcher — Systematic Equities — Baltimore

From Baltimore, MD, the fully remote Quantitative Researcher — Systematic Equities will develop and test systematic equity research across sectors, factors, and changing market regimes. This opening is limited to applicants based in the Baltimore, MD area and provides Eastern Time preparation for the open, intraday risk review, and close control.

Compensation and Benefits

About the Role

The central responsibility of the Baltimore, MD opening is a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. The assigned window includes Eastern Time preparation for the open, intraday risk review, and close control. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

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 equity-signal validation, sector diagnostics, and regime review during Eastern Time preparation for the open, intraday risk review, and close control.

First Review Cycle

The Baltimore, MD opening begins with an end-to-end review of equity-signal validation, sector diagnostics, and regime review during Eastern Time preparation for the open, intraday risk review, and close control. The review will keep research observations separate from live production decisions. One required check is: Run walk-forward and out-of-sample evaluation. The next required check is: Present both favorable and unfavorable results to the investment team. The Baltimore opening emphasizes evidence quality, prompt escalation, and clear separation of research from live decisions. You will identify any assumption that remains untested after both checks. The final handoff will name the current state, the responsible person, and the next verification step. It will preserve a clear path back to a falsifiable research idea from point-in-time data construction through out-of-sample evaluation.

Responsibilities

• Form hypotheses and build clean point-in-time equity datasets
• Test signal stability, turnover, capacity, and transaction-cost sensitivity
• Run walk-forward and out-of-sample evaluation
• Present both favorable and unfavorable results to the investment team
• Own equity-signal validation, sector diagnostics, and regime review during Eastern Time preparation for the open, intraday risk review, and close control.

Required Qualifications

• Three or more years in quantitative research, data science, or systematic investing
• Python and SQL proficiency with strong probability and statistics
• Clear understanding of backtest bias and model validation

Preferred Qualifications

• Experience with equity factors, corporate actions, and point-in-time fundamentals
• A record of moving research into monitored production use
• 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.