Remote Quant Rates Researcher for AI-Driven Trading

Zekai; United States; Remote; USD 96.000 - 152.000; Vollzeit

Zusammenfassung

Zekai is seeking a Quantitative Rates Researcher for a remote, contract role supporting a leading investment bank's algorithmic trading platform. You will review AI-generated outputs focused on fixed income and rates markets and provide detailed feedback to improve model learning.

No prior AI experience is required; domain knowledge in fixed income matters. You will document issues such as bias, data snooping, and transaction cost assumptions, and help refine research evaluation processes.

Qualifikationen

• Background as a quantitative researcher, analyst, or consultant with expertise in fixed income or rates markets.
• Experience building and backtesting systematic rates strategies.
• Advanced proficiency in Python (pandas, numpy, scipy) or R.
• Strong understanding of yield curve modeling, carry/roll-down analytics, relative value trading, SOFR/Eurodollar instruments, and Treasury futures.

Aufgaben

• 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

Kenntnisse

Fixed income markets

Quantitative research

Data analysis

Written feedback

Tools

Python

NumPy

Pandas

SciPy

R

Jobbeschreibung

Zekai is seeking a Quantitative Rates Researcher for a remote, contract role supporting a leading investment bank's algorithmic trading platform. You will review AI-generated outputs focused on fixed income and rates markets and provide detailed feedback to improve model learning.

No prior AI experience is required; domain knowledge in fixed income matters. You will document issues such as bias, data snooping, and transaction cost assumptions, and help refine research evaluation processes.