Investment Research, AI and Automation Associate — Manager Solutions & Due Diligence
As an Investment Research, AI and Automation Associate in our cross-functional team, you will translate business objectives into well-scoped technical solutions that serve a team of world-class investment management professionals and thousands of advisor stakeholders. Working closely with technology and business partners, you'll take ownership of the full solution lifecycle — from clarifying requirements with non-technical stakeholders, through design and development, to shipping production services and iterating on them post-deployment.
You'll build systems that surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organization reports and market data. While strong technical skills are essential, the core of this role is understanding the business problem, shaping the right approach, and delivering reliable, maintainable solutions — not just prototypes. You'll be keen to develop skills across a broad and evolving technology stack centered on Large Language Models (LLMs), Generative AI, agentic systems, prompt engineering, and AWS cloud infrastructure.
Job Responsibilities
- Partnering with business stakeholders to gather, clarify and prioritize requirements, translating them into well-defined technical approaches
- Taking end-to-end ownership of AI solutions — from problem framing and design through production deployment, monitoring and continuous improvement
- Building and shipping reliable, maintainable production services that surface insights to multiple business groups
- Participating in research and development activities for new and existing AI products, with a focus on practical business impact
- Contributing to the overall product and software development lifecycle through design, coding, testing, peer review, continuous integration and deployment (CI/CD) and validation
- Collaborating cross-functionally as a core part of the role — working daily with product, technology and business partners to ensure solutions meet real user needs
- Enriching team and site culture by joining technical knowledge-sharing sessions, pair programming, collaborative debugging and design workshops
Required Qualifications, Capabilities and Skills
- Undergraduate degree in a STEM subject (including, but not limited to, Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics)
- Solid Python programming fundamentals and experience with the Python ecosystem (e.g. pandas, NumPy, scikit-learn)
- At least one year of industry or academic research experience applying AI or adjacent techniques to solve real-world problems in any domain
- Practical research skills and the desire to tackle interesting and varied applied research problems using state-of-the-art tools and techniques
- Ability to communicate technical concepts clearly to non-technical audiences and to work comfortably across disciplines
- A product-oriented mindset — you care as much about whether a solution solves the business problem as about how it's built
Preferred Qualifications, Capabilities and Skills
- Experience in natural language processing (NLP) and its applications
- Familiarity with large language models, agentic frameworks (e.g. LangGraph), prompt engineering, tool design and Model Context Protocol (MCP)
- User interface design and development experience using React
- Exposure to public cloud technologies and microservice deployment
- Postgraduate degree in a STEM discipline
- Experience in the financial services industry