GIC is one of the world's largest sovereign wealth funds. With over 2,000 employees across 11 offices 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.

The Artificial Intelligence Alpha Group (AAG) is a newly formed, AI-native investment team building and applying advanced AI technologies to deliver superior investment performance. We are a collaborative and cross-functional team of investors, data scientists, and technologists, using AI to reimagine fundamental investing.

What impact can you make in this role

We are seeking a Data Scientist to design and operationalize the data modeling layer that underpins our AI-powered investment systems. You will be part of a cross-functional team, working closely with investors, fellow data scientists, and engineers to apply AI in driving investment outperformance.

The ideal candidate combines strong data science and engineering skills with curiosity about financial markets and brings the ability to transform complex datasets into structured, actionable insights that enhance investment performance.

What will you do in this role

Work closely with investors, fellow data scientists and data engineers to identify valuable data sources and perform data classification, cleaning, formatting, labeling, modeling, storage, analysis, and statistical evaluation.
Process both batch and streaming data to support real-time and historical analytics.
Design and build data platforms in collaboration with system architects and data engineers, ensuring stability, reliability, scalability, and usability across AI and analytical workflows.
Develop and enhance investment decision data models, maintaining high standards of accuracy, scalability, and computational performance.
Continuously learn and apply emerging concepts, methods, and tools in data processing, modeling, and AI-oriented workflows including pre-training, fine-tuning, and reinforcement learning to enhance the functionality, scalability, and performance of the data platform.

What qualifications, skills and traits should you possess in this role

Formal training in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field, with demonstrated experience applying these skills in an applied research or data science environment.
7+ years of hands-on experience in data science or data modeling software engineering experience related to data science or data modeling products is a plus.
Proficiency with data computation tools (e.g., Python, Spark) and familiarity with relational databases (e.g., PostgreSQL) and vector databases (e.g., Milvus, FAISS).
Skilled in applying machine learning and large language models (LLMs) to support data processing, information extraction, and modeling workflows.
Ability to optimize complex data queries and improve database and data modeling performance.
Strong software development capabilities and familiarity with standard development practices such as version control, testing, and documentation.
Knowledge of message queues, distributed databases, or graph databases is an advantage.
Understanding of financial and investment concepts, including related data structures, documents, and analytical methods, is preferred.
Working knowledge of cloud environments (e.g., AWS, GCP, Azure, or Databricks).
Strong communication and coordination skills, with the ability to work effectively across internal and external engineering teams.

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 guides us in 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. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration but have the flexibility to choose which days they work from home and adjust this 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.Please email [HIDDEN TEXT] at any point of the application or interview process if adjustments need to be made due to a disability.

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