Quantitative Researcher — Systematic Equities — San Antonio

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

Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k) matching

Flexible PTO

Parental leave

Caregiver leave

Learning budget

Remote equipment

Equity eligibility

Performance bonus

Job summary

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher — Systematic Equities based in the San Antonio, TX area to develop and test systematic equity research across sectors, factors, and changing market regimes.

The role requires 3+ years in quantitative research, data science, or systematic investing, with Python and SQL proficiency and a strong grasp of backtest bias and model validation. Central Time coverage supports live monitoring and post-trade review.

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 coverage for live monitoring, afternoon investigation, and close review.

Skills

Python

SQL proficiency

Probability and statistics

Job description

Anemoi is hiring a fully remote Quantitative Researcher — Systematic Equities based in the San Antonio, TX area to develop and test systematic equity research across sectors, factors, and changing market regimes. The opening is designed for Central Time coverage for live monitoring, afternoon investigation, 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 San Antonio, TX area
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The San Antonio, TX position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Central Time coverage for live monitoring, afternoon investigation, and close review. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

San Antonio Operating Focus

The San Antonio opening emphasizes calm incident handling and clear ownership from research through post-trade analysis. Central Time creates useful overlap with both Eastern and Pacific colleagues, but overlap does not remove the need for explicit handoffs. The opening owns midday status review, afternoon exception handling, and unresolved-issue transfer. A decision is not complete until its assumptions, limits, and next check are visible to another specialist. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time coverage for live monitoring, afternoon investigation, and close review.

First Review Cycle

During the initial operating review in San Antonio, TX, you will examine equity-signal validation, sector diagnostics, and regime review while the assigned schedule covers Central Time coverage for live monitoring, afternoon investigation, and close review. Normal controls remain in force throughout the review. One required check is: Present both favorable and unfavorable results to the investment team. The next required check is: Form hypotheses and build clean point-in-time equity datasets. The San Antonio opening emphasizes calm incident handling and clear ownership from research through post-trade analysis. You will identify any assumption that remains untested after both checks. The final record separates completed work, open research, and live operating risk. A reviewer must be able to trace each material decision 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 coverage for live monitoring, afternoon investigation, 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 San Antonio, 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.