Quantitative Researcher — Alternative Data

Anemoi Predictive Technology LLC.; United States; Remote; USD 170,000 - 240,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) with company matching

Flexible PTO

Parental and caregiver leave

Learning budget and conferences

Remote work equipment

Bonus and equity eligibility

Job summary

Anemoi Predictive Technology LLC in the United States seeks a data quality researcher to evaluate new datasets for genuine, repeatable investment information, reject weak data quickly, and build defensible research.

You will work with a small team, own important decisions, and document your work so others can review it.

Base salary is $170,000–$240,000 USD, with a performance bonus and equity eligibility, and a remote work setup across the United States.

Qualifications

• Experience researching large, messy, time-indexed datasets.
• Proficient in Python and SQL.
• Sound judgment about privacy, licensing, and data leakage.
• Familiarity with measurement of data quality and testing.

Responsibilities

• Assess provenance, coverage, revisions, latency, and licensing limits
• Design leakage-resistant tests and realistic availability timestamps
• Measure incremental value against existing information
• Maintain data-quality and vendor-monitoring controls

Skills

Python

SQL

Experimental design

Data lineage

Researching large datasets

Job description

Evaluate new datasets for genuine, repeatable investment information. You will reject weak data quickly and build defensible research when a source survives quality, legality, and stability checks.

Compensation and Benefits

Base salary: $170,000–$240,000 USD, based on experience
Work arrangement: Remote — United States
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

Evaluate new datasets for genuine, repeatable investment information. You will reject weak data quickly and build defensible research when a source survives quality, legality, and stability checks. You will work with a small team, own important decisions, and document your work so that other specialists can review it.

Responsibilities

• Assess provenance, coverage, revisions, latency, and licensing limits
• Design leakage-resistant tests and realistic availability timestamps
• Measure incremental value against existing information
• Maintain data-quality and vendor-monitoring controls

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 with financial markets, market data, or institutional trading systems.
• A record of clear written communication and careful review of high-impact work.

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