VP, Data Scientist, Investment Insights Group

VP, Data Scientist, Investment Insights Group Location: Singapore, SG Job Function: Investment Insights Group Job Type: Permanent GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long‑term investor, we work at the point of impact for Singapore’s financial future, and the communities we invest in worldwide. Investment Insights Group We use advanced quantitative techniques and cutting‑edge technological tools to generate insights that drive outstanding investment outcomes for GIC. Data Science & Innovation Team You will be part of a team of data scientists building AI solutions to support GIC enterprise‑wide users. As the centre of excellence for AI in GIC, you will build advanced tools and platforms that impact all departments of GIC, including both investment and corporate functions. You will have opportunity to work in both central team or directly with stakeholder departments. What will you do as a Data Scientist? Design and implement AI workflows to solve business problems. Deploy AI solutions to production and iterate based on user feedback. Independently conduct research on idea generation in the investment process and corporate function support. Work on GIC’s LLM initiatives and other machine learning or data science areas. What Qualifications or skills should you possess in this role? Formal training in a quantitative discipline (Computer Science, Physics, Mathematics, Finance, Engineering, or other quantitative discipline), and experience in an applied research environment. Strong LLM experience in industry settings. Strong software engineering skills and best practices (e.g., code smell, single‑responsibility principle, functional programming). Strong statistical fundamentals, experience conducting hypothesis testing and sampling; demonstrated programming skills. Understanding of financial markets, including multi‑asset research, is a plus. Understanding of data available in the investment management industry and experience accessing such data to support research efforts. Ability to work efficiently in a fast‑paced, team‑oriented environment with end‑to‑end research project work from data gathering to hypothesis testing and model implementation. At least 8 years of hands‑on engineering experience with software projects related to data science or machine learning. Good communication skills; able to explain results clearly to stakeholders. Work at the Point of Impact We need to be forward‑looking to attract the right people to help us become the Leading Global Long‑term Investor. Join our ambitious, agile, and diverse teams – be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit, and Excellence, which guide how we make our day‑to‑day decisions. We strive to inspire. To make an impact. Flexibility at GIC At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. We believe that flexibility allows us to do our best work and be our best selves. Our teams come into the office four days per week to harness the benefits of in‑person collaboration, while having flexibility to choose which days to work from home and adjust the arrangement as situational needs arise. GIC is an equal opportunity employer GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Learn more about our Investment Insights Group here: #J-18808-Ljbffr