Quantitative Researcher — Alternative Data — San Jose

Based in the San Jose, CA area, this fully remote Quantitative Researcher — Alternative Data will evaluate new datasets for genuine, repeatable investment information. The operating schedule centers on Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

Compensation and Benefits

Base salary: $170,000–$240,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the San Jose, CA area
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The San Jose, CA position owns data-source review from provenance and lawful use through leakage-resistant testing and ongoing monitoring. Its working schedule covers Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

San Jose Operating Focus

The San Jose opening emphasizes scalable research systems, measurable latency, and careful release validation. Large datasets and time-sensitive systems need separate measures for correctness, latency, and cost. The opening reviews the U.S. close while also preparing overnight workflows that must be ready before the next session. Production improvements are accepted only when tests show that speed did not weaken point-in-time integrity or auditability. For this role, that means direct ownership of data provenance, availability timing, vendor quality, and leakage controls during Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

First Review Cycle

For the first complete work cycle in San Jose, CA, you will use Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing to test how the team measures and escalates changes in data provenance, availability timing, vendor quality, and leakage controls. The cycle requires this task: Design leakage-resistant tests with realistic availability timestamps. A separate check covers this task: Measure incremental value against existing information. The San Jose opening emphasizes scalable research systems, measurable latency, and careful release validation. Neither check can rely only on an informal message or market story. The review closes only after another specialist can reproduce the key checks and identify the evidence behind the outcome for 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 review of data-intensive workflows, the U.S. close, and overnight processing.

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 San Jose, CA 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 San Jose, CA 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.

Job Categories: Quantitative Research
Job Types: Full Time
Job Locations: San Jose, CA — Remote

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