Quantitative Researcher — Systematic Equities — Kansas City

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 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, factors, and changing market regimes. The opening is designed for Central Time oversight that joins morning research review with live-market supervision.

Compensation and Benefits

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

About the Role

This opening gives the Kansas City, MO hire responsibility for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation, with operating coverage focused on Central Time oversight that joins morning research review with live-market supervision. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Kansas City Operating Focus

The Kansas City opening emphasizes balanced decision timing, explicit controls, and reliable research-to-trading transfer. The Central Time schedule provides room for both morning research challenge and full live-session supervision. This opening decides when new evidence is strong enough to require escalation and when observation should continue. Research-to-trading transfers name the intended use, limit, monitoring plan, and condition that ends the experiment. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time oversight that joins morning research review with live-market supervision.

First Review Cycle

The initial Kansas City, MO review combines Central Time oversight that joins morning research review with live-market supervision with a controlled examination of equity-signal validation, sector diagnostics, and regime review. Each material observation needs a source, a time, and a defined owner. 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 Kansas City opening emphasizes balanced decision timing, explicit controls, and reliable research-to-trading transfer. You will identify any assumption that remains untested after both checks. At the end of the cycle, you will show how the evidence supports or challenges a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Open questions stay visible until another review resolves them.

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.

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 Kansas City, MO 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.