Rates trader

Remotebridge; United States; Remote; USD 180,000 - 280,000; Part time

Job summary

Remotebridge is seeking experienced Rates traders to join a remote, contractor project supporting a leading investment bank’s algorithmic trading desk. You will apply your market knowledge to train next-generation AI systems, focusing on realistic price action and real-world market dynamics.

In this role, no AI background is required beyond your domain expertise. You will provide high-quality feedback on AI-generated strategies for rates products, discuss results with the team, and help shape

Qualifications

• Current or former Rates trader at an investment bank or hedge fund.
• Extensive hands-on experience trading interest rate swaps, swaptions, Treasuries, 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.

Responsibilities

• 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.

Skills

Rates trader

Trading experience

Algorithmic trading

Pricing & risk management

Written communication

Quantitative evaluation

Team collaboration on tech projects

Job description

Role Title: Rates trader

Role Type: Contractor

Location: Remote

Our team is 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.