Associate AVP Data Scientist Investment Insights Group
Singapore
Listed on 2026-02-28
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IT/Tech
Data Scientist, Data Analyst
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.
InvestmentInsights Group
We use advanced quantitative techniques and cutting‑edge technological tools to generate insights that drive outstanding investment outcomes for GIC.
Data Science & Innovation TeamYou will be part of a team of data scientists building AI solutions to support GIC enterprise‑wide users. As the Center of Excellence for AI in GIC, you will get to build advanced tools and platforms that impact all departments of GIC, including both investment and corporate functions. You will have the opportunity to work in both the central team or to work directly with stakeholder departments.
Whatwill 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.
- Leverage extensive experience in LLM and other machine learning or data science areas.
- Formal training in a quantitative discipline (Computer Science, Physics, Mathematics, Finance, Engineering, or other quantitative discipline) and experience applying those skills in an applied research environment.
- LLM experience in industry settings is a must.
- Strong software engineering skills and best‑practice code hygiene, single‑responsibility principle, functional programming.
- Strong statistical fundamentals, experience conducting hypothesis testing and sampling highly desirable, with 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 managing and accessing such data to support research efforts.
- Ability to work efficiently and multitask effectively in a fast‑paced, team‑oriented environment, including end‑to‑end research projects from data gathering to hypothesis testing and model implementation.
- At least 3 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.
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, pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values:
Prudence, Respect, Integrity, Merit, and Excellence, which guide us in how we make our day‑to‑day decisions. We strive to inspire and make an impact.
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 the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.
GICis 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.
Learnmore about our Investment Insights Group here:
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