Quantitative Rates Researcher - Remote-Stelle

micro1 sucht Quantitative Rates Researcher. Die Stelle liegt im Bereich Daten und Analytics und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die Anzeige hebt Python hervor, Erfahrung mit genau diesem Werkzeug gibt also den Ausschlag.

Das Unternehmen hat die Vergütung veröffentlicht: $80 - $150 pro Stunde. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die 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