Quantitative Researcher — Alternative Data — Seattle

The Seattle, WA opening for a Quantitative Researcher — Alternative Data is fully remote and restricted to applicants in that area. Its mandate is to evaluate new datasets for genuine, repeatable investment information while providing Pacific Time monitoring of the U.S. close and preparation for overnight data workflows.

Compensation and Benefits

About the Role

In this Seattle, WA role, you will be accountable for data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring while supporting Pacific Time monitoring of the U.S. close and preparation for overnight data workflows. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

Seattle Operating Focus

The Seattle opening emphasizes resilient analytical systems, asynchronous collaboration, and well-tested operating changes. Pacific Time coverage gives this opening responsibility for the U.S. close and the transition into overnight processing. Asynchronous work must be self-contained: the evidence, decision, limitation, and requested action belong in the same record. Changes to analytical systems require failure tests and a clear return to the last known-good state. For this role, that means direct ownership of data provenance, availability timing, vendor quality, and leakage controls during Pacific Time monitoring of the U.S. close and preparation for overnight data workflows.

First Review Cycle

In Seattle, WA, the first formal review will assess data provenance, availability timing, vendor quality, and leakage controls under the normal controls used for Pacific Time monitoring of the U.S. close and preparation for overnight data workflows. Any proposed response must remain within an approved limit. Two assigned tasks anchor the evidence: Measure incremental value against existing information; and Maintain data-quality and vendor-monitoring controls. The Seattle opening emphasizes resilient analytical systems, asynchronous collaboration, and well-tested operating changes. The record must show how each result affected the review. Completion requires a repeatable evidence path, a clear response boundary, and a time for the next check. Those records must connect directly to data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring.

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 monitoring of the U.S. close and preparation for overnight data workflows.

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 Seattle, WA 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 Seattle, WA 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.