About the role
The role supports adoption of Generative AI and automation for finance research and expected return projections, building automated workflows and collaborating with technology teams. It also prepares and updates materials for senior‑management forums. Candidates need a quantitative degree, 1‑4 years of analytics experience, and skills in Excel, Python and AI tools.
InvestmentOnsiteCorporate Group
Key Responsibilities
- Support adoption of Generative AI and LLMs for research synthesis and briefing materials for senior management.
- Build and implement automation for key inputs and outputs, including file preparation, diagnostics, and output analysis.
- Collaborate with Technology/Data teams and vendors to embed automation and AI solutions into workflows.
- Support projection of long-term expected returns by preparing datasets and running standard outputs.
- Perform checks and diagnostics on expected return and risk outputs, including attribution and scenario analysis.
- Support preparation and updating of materials for senior management forums.
Requirements
- Bachelor's degree in a quantitative discipline (e.g., Finance, Economics, Statistics, Engineering, Computer Science, Business Analytics).
- 1–4 years of relevant experience in analytics, modelling, automation, or data work; finance or macro exposure helpful.
- Strong Excel modelling skills and ability to work with large datasets.
- Hands‑on experience with Generative AI tools and basic automation (Python, Power Query, or RPA).
- Strong ownership
- Attention to detail