Quantitative Researcher — Alternative Data — Portland

From Portland, OR, the fully remote Quantitative Researcher — Alternative Data will evaluate new datasets for genuine, repeatable investment information. This opening is limited to applicants based in the Portland, OR area and provides Pacific Time supervision of late-session behavior and asynchronous research delivery.

Compensation and Benefits

About the Role

The central responsibility of the Portland, OR opening is data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring. The assigned window includes Pacific Time supervision of late-session behavior and asynchronous research delivery. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

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 data provenance, availability timing, vendor quality, and leakage controls during Pacific Time supervision of late-session behavior and asynchronous research delivery.

First Review Cycle

The first review cycle for Portland, OR starts with Pacific Time supervision of late-session behavior and asynchronous research delivery. It will establish a measured baseline for data provenance, availability timing, vendor quality, and leakage controls before the team proposes an operating change. Two assigned tasks anchor the evidence: Assess provenance, coverage, revisions, latency, and licensing limits; and Design leakage-resistant tests with realistic availability timestamps. The Portland opening emphasizes thoughtful written review, durable remote collaboration, and careful production change. The record must show how each result affected the review. At the end of the cycle, you will show how the evidence supports or challenges data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring. Open questions stay visible until another review resolves them.

Responsibilities

• Assess provenance, coverage, revisions, latency, and licensing limits
• Design leakage-resistant tests with realistic availability timestamps
• Measure incremental value against existing information
• Maintain data-quality and vendor-monitoring controls
• Own data provenance, availability timing, vendor quality, and leakage controls during Pacific Time supervision of late-session behavior and asynchronous research delivery.

Required Qualifications

• Experience researching large, messy, time-indexed datasets
• Python, SQL, experimental design, and data-lineage skills
• Sound judgment about privacy, licensing, and data leakage

Preferred Qualifications

• Experience conducting vendor diligence and dataset acceptance testing
• Ability to identify revisions, survivorship effects, and hidden availability delays
• 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.