Quantitative Researcher — Alternative Data — Kansas City

Based in the Kansas City, MO area, this fully remote Quantitative Researcher — Alternative Data will evaluate new datasets for genuine, repeatable investment information. The operating schedule centers on Central Time oversight that joins morning research review with live-market supervision.

Compensation and Benefits

About the Role

The Kansas City, MO position owns data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring. Its working schedule covers Central Time oversight that joins morning research review with live-market supervision. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Kansas City Operating Focus

The Kansas City opening emphasizes balanced decision timing, explicit controls, and reliable research-to-trading transfer. The Central Time schedule provides room for both morning research challenge and full live-session supervision. This opening decides when new evidence is strong enough to require escalation and when observation should continue. Research-to-trading transfers name the intended use, limit, monitoring plan, and condition that ends the experiment. For this role, that means direct ownership of data provenance, availability timing, vendor quality, and leakage controls during Central Time oversight that joins morning research review with live-market supervision.

First Review Cycle

In Kansas City, MO, the first formal review will assess data provenance, availability timing, vendor quality, and leakage controls under the normal controls used for Central Time oversight that joins morning research review with live-market supervision. Any proposed response must remain within an approved limit. Your initial work includes this task: Design leakage-resistant tests with realistic availability timestamps. It also includes this task: Measure incremental value against existing information. The Kansas City opening emphasizes balanced decision timing, explicit controls, and reliable research-to-trading transfer. The review must preserve the timing and source of each important input. 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 oversight that joins morning research review with live-market supervision.

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 Kansas City, MO 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 Kansas City, MO 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.