Quantitative Researcher — Systematic Equities — Boston

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

Benefits offered by this job

Medical, dental & vision

401(k) with company matching

Flexible paid time off

Parental and caregiver leave

Learning & development 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 Boston, MA area to develop and test systematic equity research across sectors, factors, and changing market regimes. The opening is designed around Eastern Time research challenges before the open and throughout the U.S.

trading session. As part of a cross-functional team, you will connect research, engineering, trading, and risk, embracing uncertainty and transparent tradeoffs.

Qualifications

• 3+ years in quantitative research or data science.
• 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 ET research challenge before the open and throughout the U.S. trading session.

Skills

Python

SQL

Probability & statistics

Job description

Anemoi is hiring a fully remote Quantitative Researcher - Systematic Equities based in the Boston, MA area to develop and test systematic equity research across sectors, factors, and changing market regimes. The opening is designed for Eastern Time research challenge before the open and throughout the U.S. trading session.

Compensation and Benefits

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

About the Role

This opening gives the Boston, MA hire responsibility for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation, with operating coverage focused on Eastern Time research challenge before the open and throughout the U.S. trading session. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Boston Operating Focus

The Boston opening emphasizes rigorous quantitative review, explicit uncertainty, and reproducible evidence. Independent challenge is built into the research schedule before any production decision. The opening must show how a conclusion changes under alternative samples, costs, and regimes. During live markets, deviations are recorded without forcing an immediate explanation, and later review determines whether the evidence supports a research or operating change. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Eastern Time research challenge before the open and throughout the U.S. trading session.

First Review Cycle

In Boston, MA, the first formal review will assess equity-signal validation, sector diagnostics, and regime review under the normal controls used for Eastern Time research challenge before the open and throughout the U.S. trading session. Any proposed response must remain within an approved limit. The operating test starts with this task: Test signal stability, turnover, capacity, and transaction-cost sensitivity. It continues with this task: Run walk-forward and out-of-sample evaluation. The Boston opening emphasizes rigorous quantitative review, explicit uncertainty, and reproducible evidence. The findings must distinguish confirmed evidence from an early explanation. The cycle ends with a short decision record, its limit, the next check, and each unresolved question. Another specialist must be able to trace the work through a falsifiable research idea from point-in-time data construction through out-of-sample evaluation.

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 Eastern Time research challenge before the open and throughout the U.S. trading session.

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 Boston, MA 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.