Quantitative Researcher — Systematic Equities — Fresno

Anemoi Predictive Technology LLC.

Fresno (CA)

Hybrid

USD 175,000 - 245,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) plan
Remote equipment
Parental leave
Learning budget
Flexible PTO
Equity eligibility
Performance bonus

Job summary

Anemoi Predictive Technology LLC is seeking a Quantitative Researcher — Systematic Equities for a Fresno-based, fully remote role. You will develop and test systemic equity research across sectors, factors, and market regimes, with Pacific Time review of late-session liquidity and next-day research readiness.

Requirements include 3+ years in quantitative research, Python and SQL proficiency, and a solid understanding of backtest bias and model validation.

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.

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 Pacific Time review of late-session liquidity and next-day research readiness.

Skills

Python
SQL
Probability & statistics
Backtest bias awareness
Model validation

Tools

Pandas
NumPy

Job description

Based in the Fresno, CA area, this fully remote Quantitative Researcher — Systematic Equities will develop and test systematic equity research across sectors, factors, and changing market regimes. The operating schedule centers on Pacific Time review of late-session liquidity and next-day research readiness.

Compensation and Benefits

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

About the Role

This opening gives the Fresno, CA hire responsibility for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation, with operating coverage focused on Pacific Time review of late-session liquidity and next-day research readiness. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Fresno Operating Focus

The Fresno opening emphasizes complete close analysis, dependable data checks, and clear overnight handoffs. The Pacific Time schedule gives this opening ownership of close behavior, late data checks, and preparation for the following session. Any unresolved discrepancy must be visible before overnight processing begins. The handoff describes whether the issue affects research, production, execution, or only a non-critical reporting process. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Pacific Time review of late-session liquidity and next-day research readiness.

First Review Cycle

During the initial operating review in Fresno, CA, you will examine equity-signal validation, sector diagnostics, and regime review while the assigned schedule covers Pacific Time review of late-session liquidity and next-day research readiness. Normal controls remain in force throughout the review. One required check is: Test signal stability, turnover, capacity, and transaction-cost sensitivity. The next required check is: Run walk-forward and out-of-sample evaluation. The Fresno opening emphasizes complete close analysis, dependable data checks, and clear overnight handoffs. You will identify any assumption that remains untested after both checks. The review closes only after another specialist can reproduce the key checks and identify the evidence behind the outcome for 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 Pacific Time review of late-session liquidity and next-day research readiness.
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 Fresno, CA 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.

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