Remote Quantitative Researcher - Systematic Equities

Anemoi Predictive Technology LLC.; Kansas City (MO); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, and vision

401(k) match

Flexible PTO

Parental leave

Learning budget

Home-office stipend

Performance bonus & equity

Job summary

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher – Systematic Equities based in the Kansas City, MO area to develop and test systematic equity research across sectors and changing market regimes, with Central Time oversight joining morning research review with live-market supervision.

Responsibilities include formulating hypotheses, building point-in-time datasets, testing signals, running walk-forward evaluations, and presenting results to the investment team.

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 Central Time oversight that joins morning research review with live-market supervision.

Skills

Python

SQL

Probability & Statistics

Job description

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher – Systematic Equities based in the Kansas City, MO area to develop and test systematic equity research across sectors and changing market regimes, with Central Time oversight joining morning research review with live-market supervision.

Responsibilities include formulating hypotheses, building point-in-time datasets, testing signals, running walk-forward evaluations, and presenting results to the investment team.