Quantitative Researcher — Systematic Equities — Philadelphia

From Philadelphia, PA, the fully remote Quantitative Researcher — Systematic Equities will develop and test systematic equity research across sectors, factors, and changing market regimes. This opening is limited to applicants based in the Philadelphia, PA area and provides Eastern Time research review before the open and throughout the U.S. cash session.

Compensation and Benefits

About the Role

The central responsibility of the Philadelphia, PA opening is a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. The assigned window includes Eastern Time research review before the open and throughout the U.S. cash session. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Philadelphia Operating Focus

The Philadelphia opening emphasizes evidence-first decisions, documented challenge, and orderly production handoffs. The workday reserves focused time before the open for independent evidence review and challenge. During live markets, the role must distinguish a normal deviation from a condition that needs escalation. At the close, open questions move into a short written queue with a named owner and a required follow-up date. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Eastern Time research review before the open and throughout the U.S. cash session.

First Review Cycle

In Philadelphia, PA, the first formal review will assess equity-signal validation, sector diagnostics, and regime review under the normal controls used for Eastern Time research review before the open and throughout the U.S. cash session. Any proposed response must remain within an approved limit. The evidence package includes this task: Run walk-forward and out-of-sample evaluation. It also includes this task: Present both favorable and unfavorable results to the investment team. The Philadelphia opening emphasizes evidence-first decisions, documented challenge, and orderly production handoffs. A peer will review both results from the same source data. 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 Eastern Time research review before the open and throughout the U.S. cash 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 Philadelphia, PA 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.

How to Apply

Submit a current resume through the application form for the Philadelphia, PA opening. A short cover letter is optional. We will contact qualified applicants about the interview process and next steps.

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.