Quantitative Researcher — Systematic Equities

Anemoi Predictive Technology LLC; Northern (KY); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Performance bonus

Equity eligibility

Medical benefits

401(k) matching

PTO & holidays

Parental leave

Dev budget

Remote workstation

Job summary

Anemoi Predictive Technology LLC is seeking a remote Senior Quantitative Researcher to develop and test systematic equity strategies across markets. You will own the full lifecycle from idea to reproducible results, collaborating with a small team and documenting work for peer review.

The role requires 3+ years in quantitative research or data science, strong Python/SQL skills, and a solid grasp of backtest bias.

Qualifications

• Three or more years in quantitative research, data science, or systematic investing.
• Strong Python and SQL proficiency with 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.

Skills

Python

SQL

Statistics

Backtest bias & validation

Tools

None

Job description

Develop and test systematic equity research across sectors, factors, and market regimes. This role owns the full path from a falsifiable idea to a reproducible research result.

Compensation and Benefits

• Base salary: $175,000–$245,000 USD, based on experience
• Work arrangement: Remote — United States
• Experience: 3+ years
• Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

Develop and test systematic equity research across sectors, factors, and market regimes. This role owns the full path from a falsifiable idea to a reproducible research result. You will work with a small team, own important decisions, and document your work so that other specialists can review it.

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

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 financial markets, market data, or institutional trading systems.
• A record of clear written communication and careful review of high-impact work.

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