Quantitative Trading & Research, Applied Researcher, Agentic AI Systems, Associate

What you'll do

• Design, prototype, and productionize multi-step LLM agents that retrieve context and generate structured responses.
• Evaluate and integrate emerging techniques like tool use, planning, retrieval, and fine-tuning into production systems.
• Own the full lifecycle from problem framing and dataset construction to model deployment and monitoring.
• Improve system quality systematically through error analysis and feedback loops to convert subjective issues into measurable fixes.
• Build and maintain production-grade code that is observable, robust, and scalable.
• Contribute to technical standards for agent design, evaluation, and safe deployment.
• Analyze RFQ and client workflows to develop and ship adopted automation solutions.

What we're looking for

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong coding skills with a preference for Python and experience owning production code.
• Hands-on experience building with LLMs, including agent frameworks, tool use, RAG, and prompt engineering.
• Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies.
• Demonstrated track record of delivering ML/AI systems that moved real business or user metrics.
• Ability to explain technical tradeoffs to non-technical stakeholders and write clearly.
• Experience with Equity Derivatives and Pricing (preferred).
• Experience scaling agentic prototypes into production systems or designing LLM monitoring and QA processes (preferred).