Quantitative Rates Researcher
$80 to $150/hIndicative range provided by micro1
Posted on October 9, 2026 · Applications until December 8, 2026
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This remote contractor role involves reviewing and assessing AI-generated quantitative research and trading strategies for fixed income and rates markets. Applicants need a strong background as a quantitative researcher in rates, along with advanced proficiency in Python or R.
Description in English, 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
Required skills
- python
- r
- pandas
- numpy
- scipy
- fixed income analysis
- rates markets expertise
- systematic strategy backtesting
- yield curve modeling
- carry/roll-down analytics
- relative value trading
- sofr/eurodollar instruments
- treasury futures
- statistical rigor
- factor modeling
- alpha research
- transaction cost analysis
- liquidity assessment
- model validation
- written communication
- attention to detail
- quantitative research
- data analysis
- reviewing methodological issues (lookahead bias, overfitting, data snooping)
- collaborative communication
Open worldwide
About micro1
micro1 is an AI data lab that hires remote experts to train and evaluate models. The original posting is on their site.
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