Role Overview
BAM is launching an exclusive AI Fellowship program - a rotational program that places elite AI implementation talent directly onto BAM's investment teams. You will begin embedded with our central AI team, learning BAM's platform and systems while shipping production tooling from the outset. You will then rotate onto investment teams as the dedicated AI partner to a portfolio manager, building agentic workflows, research automation, screening tools and model tooling against live investment problems. Teams have already signalled demand for these seats, and the goal is a permanent home on the desk.
Key Responsibilities
Build for the Desk: Design, build and deploy agentic workflows, data pipelines and research automation that directly improve a portfolio manager's research process and decision speed
Learn the Platform: Spend your initial months with the central AI team mastering BAM's in-house AI ecosystem, while contributing production tooling to the central platform
Embed & Partner: Sit with PMs and analysts on rotation, translating investment workflows and ambiguous requirements into working technical solutions
Rotate & Explore: Work across multiple investment teams and strategies, developing the breadth of exposure needed to find the team and problem set where you have the greatest impact
Maintain Edge: Track emerging LLM techniques and agentic frameworks, pilot promising approaches on real investment problems, and bring proven wins to the teams you work with
Qualifications
Education
Master's degree in AI, Data Science, Computer Science, Statistics, Mathematics or a related quantitative field, or equivalent work experience. Advanced degrees preferred
Strong grounding in computer science, statistics, machine learning and generative AI is required
Experience
3 - 5 years of experience in a user-facing role, scoping, building and deploying LLM-based solutions in production
Demonstrable experience building LLM-based applications using agentic frameworks
Direct work with non-technical stakeholders to shape and deliver solutions
Exposure to buy-side, equity research or another investment setting is a plus
Technical Skills
Highly proficient in Python for engineering, statistical modelling and machine learning
Experience integrating LLMs and AI models into production workflows
Familiarity with model provider APIs (OpenAI, Anthropic, Google) and agentic frameworks such as LangGraph, the OpenAI Agents SDK or the Claude Agent SDK
Fluency with agentic coding tools such as Claude Code and Codex
Working knowledge of MCP for tool and data integration
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform), Git, and workflow orchestration tools such as Airflow is a strong plus
Soft Skills
Strong problem-solving and analytical skills, with a bias toward shipping
Excellent communication skills; able to explain technical trade-offs to portfolio managers and analysts
Self-directed, comfortable operating with ambiguity and limited supervision
Able to manage multiple workstreams and deliver to deadline
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10125634
- Position Id: 3e3e9af5eda99625b9f46c95aee353f
- Posted 3 days ago
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