Quantitative Researcher Systematic Equities Washington

This Washington, DC-based, fully remote Quantitative Researcher — Systematic Equities position will develop and test systematic equity research across sectors, factors, and changing market regimes. Applicants must live in the local area, which gives the team Eastern Time monitoring of market events, policy-sensitive sessions, and close review. Compensation and Benefits Base salary: $175,000–$245,000 USD, based on experience Work arrangement: Fully remote; applicants must be based in the Washington, DC area Experience: 3+ years Additional compensation: Performance-bonus and equity eligibility based on role and level About the Role The central responsibility of the Washington, DC opening is a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. The assigned window includes Eastern Time monitoring of market events, policy-sensitive sessions, and close review. Success requires reproducible work, prompt escalation, and clear ownership through review and production use. Washington Operating Focus The Washington opening emphasizes careful treatment of event risk, source quality, and documented decision limits. Scheduled policy events and unexpected public announcements can change market conditions quickly. This opening verifies source timing, separates confirmed information from interpretation, and avoids treating a headline as proof of a durable regime. Event procedures define exposure checks, communication order, and the point when normal operations resume. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Eastern Time monitoring of market events, policy-sensitive sessions, and close review. First Review Cycle Your first documented cycle for the Washington, DC opening will test the operating process for equity-signal validation, sector diagnostics, and regime review during Eastern Time monitoring of market events, policy-sensitive sessions, and close review. The objective is a reproducible baseline, not a quick narrative. The evidence package includes this task: Run walk-forward and out-of-sample evaluation. It also includes this task: Present both favorable and unfavorable results to the investment team. The Washington opening emphasizes careful treatment of event risk, source quality, and documented decision limits. A peer will review both results from the same source data. The cycle ends with a short decision record, its limit, the next check, and each unresolved question. Another specialist must be able to trace the work through 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 monitoring of market events, policy-sensitive sessions, and close review. 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 Washington, DC 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. #J-18808-Ljbffr Anemoi Predictive Technology LLC.