Quantitative Researcher Systematic Equities Houston

This Houston, TX-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 Central Time monitoring of cross-asset conditions and the complete U.S. trading day. Compensation and Benefits Base salary: $175,000–$245,000 USD, based on experience Work arrangement: Fully remote; applicants must be based in the Houston, TX area Experience: 3+ years Additional compensation: Performance-bonus and equity eligibility based on role and level About the Role In this Houston, TX role, you will be accountable for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation while supporting Central Time monitoring of cross-asset conditions and the complete U.S. trading day. The work requires direct communication, explicit limits, and records that remain useful after market conditions change. Houston Operating Focus The Houston opening emphasizes disciplined links between market evidence, cross-asset risk, and operating decisions. Cross-asset review becomes important when energy prices, rates, currencies, and equity risk move together. The opening must test whether those links are stable enough to affect a decision or are only a temporary reaction. Research and trading records must identify the exact evidence used without turning a market story into an unsupported conclusion. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time monitoring of cross-asset conditions and the complete U.S. trading day. First Review Cycle The Houston, TX opening begins with an end-to-end review of equity-signal validation, sector diagnostics, and regime review during Central Time monitoring of cross-asset conditions and the complete U.S. trading day. The review will keep research observations separate from live production decisions. One required check is: Form hypotheses and build clean point-in-time equity datasets. The next required check is: Test signal stability, turnover, capacity, and transaction-cost sensitivity. The Houston opening emphasizes disciplined links between market evidence, cross-asset risk, and operating decisions. 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 a falsifiable research idea from point-in-time data construction through out-of-sample evaluation without private context. 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 Central Time monitoring of cross-asset conditions and the complete U.S. trading day. 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 Houston, TX 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.