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Himalayas · Partner listing

Quantitative Rates Researcher

micro1

⌖ WorldwideSalary not providedRemoteContract · Not specified

Source: Himalayas ↗

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Worldwide

About the role

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 Originally posted on Himalayas

Skills mentioned in the listing

PythonData analysisPandasNumPy

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · requirement-context
tes 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-dow

Data analysis · requirement-context
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,

Pandas · requirement-context
tegies 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 analyt

NumPy · requirement-context
t 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, rel