Quantitative Rates Researcher — AI Trading Evaluation

Remolity, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Remolity, Inc. is seeking a sharp Quantitative Rates Researcher to contribute to an innovative trading platform. You will review AI-generated outputs focused on fixed income and rates, and provide clear, data-driven feedback.

No prior AI experience required; your quantitative expertise, backtesting know-how, and precise written critique will shape how models learn and perform in real-world conditions. Candidates with Python or R experience, strong attention to detail, and experience evaluating

Qualifications

  • Experience in building and backtesting systematic rates strategies.
  • Ability to assess model robustness and data integrity.
  • Strong written feedback and communication skills.

Responsibilities

  • Review AI-generated research on fixed income and rates markets.
  • Identify issues like lookahead bias and overfitting.
  • Evaluate backtesting frameworks for rates mechanics.
  • Scrutinize signal construction, factor modeling, and alpha research.
  • Provide detailed written feedback on model assumptions and implementation fidelity.
  • Collaborate with project coordinators to clarify findings and recommendations.
  • Refine research evaluation processes for greater accuracy.

Skills

Quantitative research
Fixed income expertise
Written communication

Education

Advanced degree in a quantitative field

Tools

Python (pandas, numpy, scipy)
R

Job description

Remolity, Inc. is seeking a sharp Quantitative Rates Researcher to contribute to an innovative trading platform. You will review AI-generated outputs focused on fixed income and rates, and provide clear, data-driven feedback.

No prior AI experience required; your quantitative expertise, backtesting know-how, and precise written critique will shape how models learn and perform in real-world conditions. Candidates with Python or R experience, strong attention to detail, and experience evaluating

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