AI training contract
Quantitative Rates Researcher
Finance & Accounting · USD 80-150 an hour. · 100 openings
Quantitative Rates Researcher is contract work for micro1, reviewing and correcting what AI models produce in finance & accounting. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 80 to USD 150 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 100 openings on this role.
Skills named: python, r, pandas, numpy, scipy, fixed income analysis, rates markets expertise, systematic strategy backtesting, yield curve modeling, carry/roll-down analytics.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Quantitative Rates Researcher Role Type: Contractor Location: Remote micro1 is engaging Quantitative Rates Researchers to contribute to a leading investment bank’s algorithmic trading platform project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Review and assess AI-generated quantitative research and trading strategy outputs focused on fixed income and rates markets Identify and document methodological issues such as lookahead bias, overfitting, data snooping, and unrealistic transaction cost assumptions Evaluate the accuracy of backtesting frameworks, especially with respect to rates-specific mechanics like carry/roll-down and contract roll conventions Scrutinize the statistical rigor of signal construction, factor modeling, and alpha research in the provided outputs Deliver detailed written feedback on model assumptions, implementation fidelity, and research soundness Collaborate asynchronously with project coordinators by clarifying findings and suggestions through clear written and verbal communication Contribute to the refinement of research evaluation processes for greater accuracy and relevance Preferred Qualifications Background as a quantitative researcher, analyst, or consultant with expertise in fixed income or rates markets Demonstrated experience building and backtesting systematic rates strategies at a hedge fund, asset manager, or bank Advanced proficiency in Python (pandas, numpy, scipy) or R for quantitative research and data analysis Strong understanding of yield curve modeling, carry/roll-down analytics, relative value trading, SOFR/Eurodollar instruments, and Treasury futures Comfort evaluating research under real-world trading conditions, including transaction costs and liquidity constraints Exceptional attention to detail and ability to articulate complex quantitative findings in clear, concise written feedback Prior experience assessing or reviewing models for compliance with best practices in quantitative finance is a plus
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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.