Rates trader – Remote

• Charlotte, North Carolina, United States

This is a fully remote position , open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $80-$100/hr

Role Title: Rates trader

Role Type: Contractor

Location: Remote

We are engaging experienced Rates traders to participate in a project supporting a leading investment bank’s algorithmic trading desk. 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

• Evaluate AI-generated trading strategies for rates products, providing feedback based on your professional experience and knowledge of real market dynamics.
• Assess the realism and market viability of AI outputs related to interest rate swaps, swaptions, Treasury futures, Eurodollar/SOFR, and repo instruments.
• Offer structured, actionable commentary on algorithmic strategies and decision rationale.
• Identify market scenarios where AI recommendations diverge from actual trading desk practices.
• Suggest improvements to increase the accuracy and sophistication of AI-generated trading logic.
• Engage in written and verbal discussions to clarify reasoning and facilitate the AI training process.
• Contribute flexibly to project milestones in a remote setting.

Preferred Qualifications

• Current or former Rates trader at an investment bank or hedge fund.
• Extensive hands-on experience trading interest rate swaps, swaptions, Treasury futures, Eurodollar/SOFR, and repo products.
• Background in algorithmic or systematic trading on a Rates desk (VP, Director, or similar level strongly preferred).
• In-depth understanding of rates market structure, pricing, and risk management.
• Strong written and verbal communication skills, with the ability to clearly articulate complex trading insights.
• Comfort evaluating quantitative strategies and explaining their real-world applicability.
• Previous experience collaborating on technology or trading system projects is a plus.