Quantitative Researcher — Systematic Equities — Milwaukee

Anemoi Predictive Technology LLC.; Milwaukee (WI); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k) with company matching

Flexible paid time off

Parental and caregiver leave

Learning budget

Remote-work equipment

Job summary

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher for Systematic Equities, based in the Milwaukee, WI area, to develop and test systematic equity research across sectors, factors, and market regimes. The role emphasizes Central Time coverage, morning preparation, and afternoon validation, with a small team and clear decision documentation.

You will own equity-signal validation, sector diagnostics, and regime review, collaborating across functions while preserving

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 coverage that connects morning preparation with afternoon validation.

Skills

Python

SQL

Probability & statistics

Backtest bias

Job description

Anemoi is hiring a fully remote Quantitative Researcher — Systematic Equities based in the Milwaukee, WI area to develop and test systematic equity research across sectors, factors, and changing market regimes. The opening is designed for Central Time coverage that connects morning preparation with afternoon validation.

Compensation and Benefits

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

About the Role

The Milwaukee, WI position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Central Time coverage that connects morning preparation with afternoon validation. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Milwaukee Operating Focus

The Milwaukee opening emphasizes stable daily processes, careful measurement, and practical collaboration across functions. The working schedule pairs morning preparation with an afternoon validation block. This makes it possible to compare what the team expected with what production and markets actually did. The opening converts that difference into a small, prioritized improvement list rather than allowing recurring issues to remain informal knowledge. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time coverage that connects morning preparation with afternoon validation.

First Review Cycle

The initial Milwaukee, WI review combines Central Time coverage that connects morning preparation with afternoon validation 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. The operating test starts with this task: Present both favorable and unfavorable results to the investment team. It continues with this task: Form hypotheses and build clean point-in-time equity datasets. The Milwaukee opening emphasizes stable daily processes, careful measurement, and practical collaboration across functions. The findings must distinguish confirmed evidence from an early explanation. The final note will connect the outcome to a falsifiable research idea from point-in-time data construction through out-of-sample evaluation and give another specialist enough detail to challenge the decision without a separate meeting.

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 coverage that connects morning preparation with afternoon validation.

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 Milwaukee, WI 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.