AVP/VP, Data Scientist, Internal Audit Department

at  GIC Investment

Location:Singapore, SG
Job Function: Internal Audit Department
Job Type: Permanent
Req ID: 16219
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.

WHAT IMPACT CAN YOU MAKE IN THIS ROLE?

We are looking for a suitable candidate to join our data analytics team as an AVP/VP, Data Scientist, and be part of a dynamic team working alongside 7 data scientists.

WHAT WILL YOU DO AS A DATA SCIENTIST?

• Leverage LLM and GenAI to develop, optimize, and maintain advanced solutions to support internal audit activities.
• Analyse heterogeneous and unstructured data and generate actionable insights to enhance risk and control activities.
• Develop custom data pipelines and machine learning models to analyse structured and unstructured data, and generate actionable insights to enhance risk and control activities.
• Work on Big Data infrastructure such as Snowflake and OpenSearch to efficiently manage data on very large datasets.
• Work closely with business stakeholders to analyse large data sets, trends and results to drive data-driven operational risk decisions.
• Collaborate with an existing internal community of data scientists to solve complex problems and influence change.
• Keep abreast of technique development in data analytics and recommend adoption of best practices into GIC.

WHAT QUALIFICATIONS OR SKILLS SHOULD YOU POSSESS IN THIS ROLE?

• Bachelor’s degree in Computer Science, Information Systems, or relevant quantitative fields.
• At least 5 years (AVP) and 10 years (VP) of experience in data science or data engineering.
• Highly proficient in Python and working experience with Python based data workflows.
• Experience in processing data in SQL databases and big data platforms, able to manipulate data sets and build end-to-end process from ETL.
• Good understanding with machine learning algorithms, statistical models and other common machine learning techniques.
• Good understanding about large language model (LLM), such as prompt engineering, agentic LLM, model serving and finetuning.
• Knowledge of dashboard creation and visualisation using Streamlit will be an added advantage.
• Strong analytical and organization skills, with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Self-motivated and driven, able to work independently on technical projects and be a team player.