Avp, Data Scientist, Internal Audit Department

**Location**:Singapore, SG

**Job Function**:Internal Audit Department

**Job Type**:Permanent

**Req ID**:16461
- 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.

**Internal Audit Department (IAD)**
- Internal Audit Department (IAD) has been tasked with the mandate to foster a strong governance and control environment in GIC. IAD provides an independent assessment of GIC’s governance, risk management and internal control environment to key stakeholders including the Board of Directors and senior management. IAD acts as a trusted business partner working closely with the GIC group of companies and investment holding entities to bring about positive changes to the control environment and culture and thereby support senior management decision making.

**Data Analytics**

**What Impact can you make in this role?**

**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.

**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