Quantitative Researcher — Alternative Data — Dallas

This fully remote Quantitative Researcher — Alternative Data opening serves Dallas, TX and will evaluate new datasets for genuine, repeatable investment information. Applicants must be based in the Dallas, TX area. The position adds Central Time coordination of market-open decisions and cross-team risk review.

Compensation and Benefits

About the Role

The Dallas, TX position owns data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring. Its working schedule covers Central Time coordination of market-open decisions and cross-team risk review. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Dallas Operating Focus

The Dallas opening emphasizes measurable controls, prompt escalation, and reliable links between research and production. The operating day joins pre-market readiness, live risk review, and production follow-through. This opening must make cross-team decisions measurable by recording the trigger for escalation, the person who approved the response, and the condition that ends it. Routine work should be automated only after its failure behavior is understood. For this role, that means direct ownership of data provenance, availability timing, vendor quality, and leakage controls during Central Time coordination of market-open decisions and cross-team risk review.

First Review Cycle

The Dallas, TX opening begins with an end-to-end review of data provenance, availability timing, vendor quality, and leakage controls during Central Time coordination of market-open decisions and cross-team risk review. The review will keep research observations separate from live production decisions. Two assigned tasks anchor the evidence: Design leakage-resistant tests with realistic availability timestamps; and Measure incremental value against existing information. The Dallas opening emphasizes measurable controls, prompt escalation, and reliable links between research and production. The record must show how each result affected the review. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through 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 Central Time coordination of market-open decisions and cross-team risk review.

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 Dallas, TX 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 Dallas, TX 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.