Accelerate adoption of BAM’s in-house generative AI and data science products across investment strategies by embedding AI enablement specialists with portfolio managers and analysts.
Requirements
- Demonstrable experience building LLM-based applications
- Highly proficient in the use of Python for data manipulation, statistical modeling and machine learning, along with strong SQL skills for database querying.
- Experience integrating LLMs and AI models into production workflows is a must
- Familiarity with OpenAI APIs and LLM frameworks such as LangChain and LlamaIndex.
- Familiarity with AWS or other cloud platforms, Git for version control, and Airflow (or similar orchestration tools) is a strong plus.
- Academic training in computer science, statistics and data science techniques (including machine learning methods) is required
- Preference for candidates with academic training in generative AI techniques
Responsibilities
- Implement agentic solutions that measurably improve traders’ decision speed and research processes.
- Rapidly prototyping agentic workflows.
- Translate PM and analyst requirements into concrete technical solutions.
- Use LLMs and data science techniques to improve efficiency and investment decision making.
- Track emerging LLM techniques and machine learning methods, pilot promising ideas, and feed proven wins back into the platform.
Other
- Deliver demos, host office hours, and create cheat-sheets to simplify every PM & analysts’ journey with our solutions
- Capture on-desk insights and relay them to the appropriate Data Science and AI teams to sharpen and extend existing products.
- At least 3 years of experience in a customer facing role, scoping, developing and deploying LLM-based and data science solutions
- Preference for candidates with prior buy-side or equity research experience – hands-on company analysis and direct collaboration with portfolio managers
- Strong problem-solving and analytical skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- Demonstrated ability to manage multiple projects and meet deadlines
