Micro1 review · AI Training & Data Labeling

Quantitative Rates Researcher — Fixed Income AI Research Review (micro1)

Quantitative research review
Pay
$80–$150 per hour
Location
Remote · worldwide
Posted
Oct 10

What the work involves

micro1 is engaging Quantitative Rates Researchers to contribute to a leading investment bank's algorithmic trading platform project, helping train next-generation AI systems. You'll review and assess AI-generated quantitative research and trading strategy outputs focused on fixed income and rates markets, identifying and documenting methodological issues such as lookahead bias, overfitting, data snooping and unrealistic transaction cost assumptions. You'll evaluate the accuracy of backtesting frameworks with respect to rates-specific mechanics like carry/roll-down and contract roll conventions, scrutinize the statistical rigor of signal construction, factor modelling and alpha research, and deliver detailed written feedback on model assumptions, implementation fidelity and research soundness.

No prior AI experience is required — your rates and fixed income expertise is what matters.

What you'll do

  • 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 rates-specific mechanics like carry/roll-down and contract roll conventions
  • Scrutinize the statistical rigor of signal construction, factor modelling and alpha research
  • Deliver detailed written feedback on model assumptions, implementation fidelity and research soundness
  • Collaborate asynchronously with project coordinators to clarify findings and suggestions

Requirements & eligibility

  • Background as a quantitative researcher, analyst or consultant with fixed income or rates expertise
  • 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 modelling, 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 clear, concise written feedback

How to apply

Applications go directly to micro1. Read their terms before you sign up — and if anything feels off, run the scam check below first.

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