Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion.
Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations.
Operating on commercial principles, we seek to deliver sustainable returns over the long term.
We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.
Introduction
Internal Audit provides independent and objective assurance and advisory services designed to add value and protect Temasek’s reputation. Reporting functionally to the Audit Committee of the Board of Directors of Temasek Holdings, and administratively to the CEO, Internal Audit helps Temasek accomplish its objectives by bringing a risk-based, systematic and disciplined approach to efficiently evaluate and improve the effectiveness of its risk management, internal controls and governance processes.
This intern will support the Internal Audit (IA) team in executing data analytics, data sciences, and automation projects and related initiatives to enhance the way audits are conducted and take part in the team’s transformation efforts. They will be responsible for designing and testing data solutions, piloting new and innovative technologies, and playing a key role in modernizing IA at Temasek.
Responsibilities
- Perform data extraction and transformation from various sources (structured, semi-structured, and unstructured data)
- Design data models and execute data analytics procedures to identify trends, anomalies, and insights to support audit processes
- Explore the application of natural language processing, unstructured data analytics, and other machine learning techniques to enhance audit procedures
- Experiment with innovative technologies such as generative AI (GenAI) and data platforms such as Snowflake to modernize how audits and related efforts are performed
- Collaborate with team members to develop reporting and operational dashboards and data applications
The incumbent will be able to gain the following competencies:
- Experience in working with SaaS data cloud and reporting technologies such as Snowflake and Tableau
- Real-world business application of data analytics/sciences, intelligent automation, machine learning, and GenAI
- Experience in driving process alignment, stakeholder management, and cross-functional collaboration
- Gain knowledge about audit methodology, risk monitoring, understanding of business processes, controls, and systems
Requirements
- Currently pursuing a degree in a relevant field (e.g., Data Analytics, Business Analytics, Data Science, Computer Science, AI)
- Strong analytical and problem-solving skills
- Proficiency in data extraction, transformation, and analysis using programming languages such SQL, Python
- Proficiency in data visualization tools (e.g., Tableau, Power BI)
- Strong communication skills and ability to articulate and present work effectively
- Highly professional and discreet, able to maintain confidentiality on projects, especially when dealing with sensitive information
- Detail-oriented, organized, able to manage multiple tasks effectively
- Experience working with various types of large and complex datasets, both structured (e.g. transactions, logs) and unstructured
- Experience with large language models (LLM), GenAI use case development, prompt engineering, natural language processing (NLP) techniques and algorithms, unstructured data analysis and text mining
- Strong interest in exploring the application of GenAI and use of LLMs within the audit domain
- Audit, risk, or fraud investigation related experience
Interpersonal Skills:
- Ability to work effectively with team members in a collaborative environment, actively contribute ideas, and be pleasant to work with
- Intellectual curiosity and eagerness to learn
- Capable of working autonomously, taking initiative, and managing time efficiently to meet deadlines
- Strong sense of ownership, demonstrates accountability, and strives for high-quality outcomes
