Remote Quantitative Researcher, Systematic Equities

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

Benefits offered by this job

Medical, dental, and vision plans

401(k) with company matching

Flexible PTO and company holidays

Paid parental and caregiver leave

Professional development budget

Remote-work equipment and home-office

Performance bonus and equity eligible

Job summary

Anemoi Predictive Technology LLC. is seeking a Quantitative Researcher — Systematic Equities to develop and test research across sectors, factors, and market regimes. This fully remote role requires base in the El Paso, TX area and aligns with Mountain Time coordination between Central and Pacific workflows.

The role emphasizes end-to-end research from data construction to out-of-sample evaluation, with opportunities for performance bonuses and equity eligibility based on role and level.

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 Mountain Time coordination between Central and Pacific market workflows.

Skills

Python

SQL

Probability & statistics

Job description

Anemoi Predictive Technology LLC. is seeking a Quantitative Researcher — Systematic Equities to develop and test research across sectors, factors, and market regimes. This fully remote role requires base in the El Paso, TX area and aligns with Mountain Time coordination between Central and Pacific workflows.

The role emphasizes end-to-end research from data construction to out-of-sample evaluation, with opportunities for performance bonuses and equity eligibility based on role and level.