Remote Fixed Income Trading Expert for AI

mercor; United States; Remote; USD 207,000 - 248,000; Part time

Job summary

Mercor, a remote-first company in the US, seeks a Fixed Income Trading Expert to support AI-driven trading research. You will evaluate AI outputs for bond pricing, design trading scenarios, and review model reasoning in trade structuring and risk management.

The role emphasizes hands-on execution, RFQ workflows, and data annotation to improve AI trading tools. The engagement is flexible and project-based, offering remote collaboration with US markets and opportunities to influence across trading

Qualifications

• 3–10+ years in fixed income trading, sales & trading, or portfolio management.
• Day-to-day experience executing fixed income trades.
• Hands-on experience using Tradeweb or similar electronic trading platforms.
• Strong familiarity with RFQ workflows, price discovery, and order management systems.
• Willingness to provide candid, experience-based feedback on trading tools.

Responsibilities

• Evaluate and improve AI-generated outputs related to bond pricing, yield curves, and spread analysis.
• Design realistic trading scenarios and edge cases based on real-world market behavior.
• Review model reasoning on trade structuring, execution decisions, and risk management.
• Provide feedback on accuracy, market intuition, and institutional realism.
• Annotate datasets and create high-quality training examples for financial AI systems.
• Collaborate with researchers to refine model performance on trading workflows.

Skills

Fixed income trading

Trade execution

RFQ workflows

Price discovery

Order management

Tools

Python

Excel modeling

Bloomberg

MarketAxess

Job description

Mercor, a remote-first company in the US, seeks a Fixed Income Trading Expert to support AI-driven trading research. You will evaluate AI outputs for bond pricing, design trading scenarios, and review model reasoning in trade structuring and risk management.

The role emphasizes hands-on execution, RFQ workflows, and data annotation to improve AI trading tools. The engagement is flexible and project-based, offering remote collaboration with US markets and opportunities to influence across trading