Quantitative Developer — Research Systems — Portland

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Portland, OR area to build the research platform used to create reproducible market studies at scale. The opening is designed for Pacific Time supervision of late-session behavior and asynchronous research delivery.

Compensation and Benefits

About the Role

The Portland, OR position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Pacific Time supervision of late-session behavior and asynchronous research delivery. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Portland Operating Focus

The Portland opening emphasizes thoughtful written review, durable remote collaboration, and careful production change. Much of the collaboration is asynchronous, so written work must explain the question, method, evidence, and limitation without relying on verbal context. Pacific Time coverage includes the market close and later validation. A proposed production change is not ready until another specialist can reproduce the result and challenge its assumptions. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time supervision of late-session behavior and asynchronous research delivery.

First Review Cycle

During the initial operating review in Portland, OR, you will examine research-platform reliability, experiment lineage, and large time-series workloads while the assigned schedule covers Pacific Time supervision of late-session behavior and asynchronous research delivery. Normal controls remain in force throughout the review. The evidence package includes this task: Develop reusable data and backtest infrastructure. It also includes this task: Improve experiment tracking, lineage, and reproducibility. The Portland opening emphasizes thoughtful written review, durable remote collaboration, and careful production change. A peer will review both results from the same source data. The closing record identifies the evidence, approval, limit, and next test. A second specialist must be able to evaluate research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads from the same starting facts.

Responsibilities

• Develop reusable data and backtest infrastructure
• Improve experiment tracking, lineage, and reproducibility
• Optimize large time-series workloads
• Add tests that detect leakage and inconsistent data vintages
• Own research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time supervision of late-session behavior and asynchronous research delivery.

Required Qualifications

• Production Python and SQL experience
• Strong knowledge of distributed data systems and numerical workloads
• Experience supporting quantitative researchers

Preferred Qualifications

• Experience with workflow orchestration, columnar data, and cloud research environments
• A record of improving speed without weakening correctness or auditability
• Experience collaborating across time zones while maintaining the operating coverage assigned to the Portland, OR 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 Portland, OR 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.