Quantitative Researcher — Alternative Data — Detroit

This Detroit, MI-based, fully remote Quantitative Researcher — Alternative Data position will evaluate new datasets for genuine, repeatable investment information. Applicants must live in the local area, which gives the team Eastern Time monitoring of cyclical market conditions and the complete cash session.

Compensation and Benefits

About the Role

In this Detroit, MI role, you will be accountable for data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring while supporting Eastern Time monitoring of cyclical market conditions and the complete cash session. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

Detroit Operating Focus

The Detroit opening emphasizes regime awareness, operational resilience, and practical analysis under changing conditions. Cyclical changes can make a relationship appear stable during one period and fail in another. This opening keeps regime assumptions visible and tests decisions under weaker conditions. The operating process also favors resilient controls that continue to work during high volume, missing data, or a sudden change in market behavior. For this role, that means direct ownership of data provenance, availability timing, vendor quality, and leakage controls during Eastern Time monitoring of cyclical market conditions and the complete cash session.

First Review Cycle

For the first complete work cycle in Detroit, MI, you will use Eastern Time monitoring of cyclical market conditions and the complete cash session to test how the team measures and escalates changes in data provenance, availability timing, vendor quality, and leakage controls. The cycle requires this task: Measure incremental value against existing information. A separate check covers this task: Maintain data-quality and vendor-monitoring controls. The Detroit opening emphasizes regime awareness, operational resilience, and practical analysis under changing conditions. Neither check can rely only on an informal message or market story. The closing summary must show whether the evidence supports a change or only further study. It must let another specialist evaluate data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring without private context.

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 Eastern Time monitoring of cyclical market conditions and the complete cash session.

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 Detroit, MI 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 Detroit, MI 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.