Quantitative Researcher — Systematic Equities — Fort Worth

Anemoi Predictive Technology LLC.; Fort Worth (TX); Remote; USD 175,000 - 245,000; Full time

Benefits offered by this job

Performance bonus

Equity eligibility

Remote work equipment

401(k) plan

Job summary

Anemoi Predictive Technology LLC in Fort Worth, TX seeks a fully remote Quantitative Researcher for Systematic Equities. The role centers on falsifiable research from point-in-time data construction through out-of-sample evaluation, with Central Time supervision of intraday controls and end-of-session reviews.

Responsibilities include forming hypotheses, building clean datasets, testing signal stability, and presenting results to the investment team.

Qualifications

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

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 supervision of intraday controls and end-of-session operating review.

Skills

Quantitative research

Data science

Systematic investing

Python

SQL

Job description

This Fort Worth, 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 supervision of intraday controls and end-of-session operating review.

Compensation and Benefits

Base salary: $175,000–$245,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the Fort Worth, TX area
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The central responsibility of the Fort Worth, TX opening is a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. The assigned window includes Central Time supervision of intraday controls and end-of-session operating review. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Fort Worth Operating Focus

The Fort Worth opening emphasizes practical risk ownership, concise communication, and repeatable daily procedures. This role uses a steady Central Time cadence: readiness checks, live supervision, close reconciliation, and a short improvement queue. Unusual activity must be handled without weakening normal controls. Each operational change needs a testable purpose and a rollback path that another team member can execute. For this role, that means direct ownership of equity‑signal validation, sector diagnostics, and regime review during Central Time supervision of intraday controls and end-of-session operating review.

First Review Cycle

The first review cycle for Fort Worth, TX starts with Central Time supervision of intraday controls and end-of-session operating review. It will establish a measured baseline for equity‑signal validation, sector diagnostics, and regime review before the team proposes an operating change. 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 Fort Worth opening emphasizes practical risk ownership, concise communication, and repeatable daily procedures. You will identify any assumption that remains untested after both checks. Completion requires a repeatable evidence path, a clear response boundary, and a time for the next check. Those records must connect directly 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 Central Time supervision of intraday controls and end‑of‑session operating 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 Fort Worth, 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.