Quantitative Researcher — Systematic Equities — El Paso

This fully remote Quantitative Researcher — Systematic Equities opening serves El Paso, TX and will develop and test systematic equity research across sectors, factors, and changing market regimes. Applicants must be based in the El Paso, TX area. The position adds Mountain Time coordination between Central and Pacific market workflows.

Compensation and Benefits

About the Role

The El Paso, TX position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Mountain Time coordination between Central and Pacific market workflows. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

El Paso Operating Focus

The El Paso opening emphasizes reliable cross-region handoffs and clear ownership when trading schedules overlap. The Mountain Time schedule overlaps with both Central and Pacific workflows, which makes transfer quality a central responsibility. The opening tracks work that crosses regions and closes ambiguous ownership before it becomes an incident. Late-session review also checks that the next team receives current data rather than an earlier snapshot. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Mountain Time coordination between Central and Pacific market workflows.

First Review Cycle

The El Paso, TX opening begins with an end-to-end review of equity-signal validation, sector diagnostics, and regime review during Mountain Time coordination between Central and Pacific market workflows. The review will keep research observations separate from live production decisions. The evidence package includes this task: Present both favorable and unfavorable results to the investment team. It also includes this task: Form hypotheses and build clean point-in-time equity datasets. The El Paso opening emphasizes reliable cross-region handoffs and clear ownership when trading schedules overlap. A peer will review both results from the same source data. At the end of the cycle, you will show how the evidence supports or challenges a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Open questions stay visible until another review resolves them.

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 Mountain Time coordination between Central and Pacific market workflows.

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 El Paso, 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.

How to Apply

Submit a current resume through the application form for the El Paso, TX 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.