Global Markets - AI Engineering Intern

JCAP

JCAP is a global macro hedge fund investing across public and private markets, asset classes, and geographies - combining institutional rigor with entrepreneurial agility.

Purpose of the Job

We take a technology-forward approach to markets and are seeking an intern to build alongside our global macro team. In this role, you will design and ship tools that portfolio managers and traders rely on daily, working at the intersection of financial markets and frontier AI.

Responsibilities

Design and build LLM- and agent-based systems to ingest, synthesize, and pressure-test financial data - including a conversational interface that unifies our suite of investment tools
Integrate and orchestrate frontier model APIs (Anthropic, OpenAI, and openweight stacks), spanning multi-agent workflows, tool use, and data retrieval pipelines
Maintain and enhance existing systems through proactive updates and timely bug fixes
Work directly with portfolio managers and traders to identify workflow bottlenecks, then design and ship solutions rapidly, iterating on live feedback
Contribute original ideas - wherever AI can create an edge in macro investing, we want you to find it

Requirements

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, Finance, or a related discipline
Strong Python proficiency; machine learning experience a plus
Fluency with the modern data stack (pandas, NumPy, scikit-learn) and the LLM ecosystem (embeddings, RAG, fine-tuning, agent frameworks)
Genuine curiosity about frontier AI, including foundation models and agentic systems
Genuine interest in markets and global macro
Analytical rigor, intellectual honesty, and the discipline to stress-test your own work
Proactive, self-directed working style suited to a small, fast-moving team
Excellent written and spoken English; mandarin Chinese an advantage

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