🌎Quantitative Rates Researcher, Remote- Contract

Sobre a oportunidade

Role Title: Quantitative Rates Researcher

Role Type: Contract

Location: Remote

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

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