Associate Quantitative Trading & Research Applied Researcher, Agentic AI Systems

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.
• Manage the full lifecycle from problem framing and dataset construction to deployment and monitoring.
• Improve system quality through systematic evaluation, error analysis, and feedback loops.
• Develop production-grade code that is observable, robust, and scalable.
• Establish technical standards for agent design, evaluation, and safe deployment.
• Translate complex client workflows into automated solutions in partnership with cross-functional teams.

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, prompt engineering, and evals.
• Deep understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies.
• Proven track record in applied research delivering ML/AI systems that improved business or user metrics.
• Ability to communicate technical tradeoffs to non-technical stakeholders and write clearly.
• Experience with Equity Derivatives and Pricing is preferred.
• Experience scaling agentic prototypes into production systems and designing monitoring processes for LLM outputs.