Quantitative Analyst (Bloomberg Terminal users)

About Verita AI Verita AI builds high-trust data pipelines that enable AI systems to understand real-world workflows across finance and operations. We work with domain experts to teach models how financial systems, research workflows, and market analysis function in practice.

Our founding team includes alumni of Mercor, Hudson River Trading, Citadel, IDEO, Stanford, and Yale. We partner with world-class researchers and engineers at leading AI labs to advance the state of the art.

Verita AI is a seed-stage company valued at $25 million, having raised $6 million led by Kindred Ventures. About the Role We are hiring experienced fixed income professionals to help train and evaluate next-generation AI systems on real-world trading workflows.

You'll work directly with researchers to improve how AI models reason about bond pricing, trade execution, and risk — drawing on your day-to-day market experience to ensure outputs reflect institutional realism.

Position: Fixed Income Trading Expert Type: Flexible, project-based Compensation: $150–$180/hour Location: Remote Responsibilities Evaluate and improve AI-generated outputs related to bond pricing, yield curves, and spread analysis Design realistic trading scenarios and edge cases grounded in real-world market behavior Review model reasoning on trade structuring, execution decisions, and risk management Provide detailed, experience-based 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 Document financial reasoning and decision-making clearly Requirements 3–10+ years in fixed income trading, sales & trading, or portfolio management Day-to-day experience executing fixed income trades Professional Bloomberg Terminal experience Strong understanding of fixed income markets, pricing, and financial data Strong written communication and analytical skills High attention to detail Willingness to provide candid, experience-based feedback on trading tools Preferred Experience with quant tools (Python, Excel modeling) Interest in AI/ML applications in finance Note This is a 4 week project Pay: $150.00 - $180.00 per hour Work Location: Remote