Quantitative Rates Researcher - poste à distance

L'entreprise micro1 recrute : Quantitative Rates Researcher. Le poste relève de la catégorie Data et analytics et se fait entièrement à distance. Aucune restriction n'est posée sur le lieu de résidence du candidat, vous pouvez donc postuler de partout.

L'annonce met en avant Python : c'est l'expérience de cet outil précis qui fera la différence.

L'entreprise a publié la rémunération : $80 - $150 par heure. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la liste.

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