Data/Computer Science Intern, Internal Audit (Summer 2025)
- Internship, onsite
- Temasek
- Singapore, Singapore
Salary undisclosed
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Introduction
The intern will support the Internal Audit team in technology auditing, leveraging AI validation tools, and automation initiatives. The key responsibilities include developing audit programs, performing assurance reviews, conducting risk assessments, exploring automation opportunities, and evaluating AI validation toolkits.
Responsibilities
Assurance Augmentation
Assurance Augmentation
The intern will support the Internal Audit team in technology auditing, leveraging AI validation tools, and automation initiatives. The key responsibilities include developing audit programs, performing assurance reviews, conducting risk assessments, exploring automation opportunities, and evaluating AI validation toolkits.
Responsibilities
Assurance Augmentation
- Develop and review audit programs referencing industry frameworks to identify non-compliance and control weaknesses
- Perform risk assessment of the gaps to identify potential impact and associated risks
- Explore automation opportunities of audit testing and review by leveraging enterprise RPA tools
- Explore different AI validation toolkits (e.g. AI Verify Toolkit and MS Pyrit) and AI management standards (e.g. ISO 42001) to enhance AI audit objectives
- Review the AI validation tools to help identify the scope of the validation and mapping them against types of AI enabled applications and risks
- Build or setup an AI validation platform incorporating the AI validation tools and frameworks
- Perform evaluation of the AI validation platform against AI-enabled applications
- Identify opportunities in automating these tools and document in details the customisation, configurations and processes
Assurance Augmentation
- Gain knowledge of IT and cybersecurity controls and industry frameworks
- Experience in identifying risks arising from non-compliance and weaknesses in controls
- Experience in communicating risk assessment for alignment with different lines of defence
- Gain knowledge on system controls, technical architecture and governance processes
- Pick up robotic process automation (RPA) skills
- Experience in the AI and technology policies and management decision-making processes
- Experiment with emerging AI validation toolkits and frameworks
- Gain knowledge in cross-functional control assessment processes on AI adoption
- Gain knowledge in validating AI applications from governance and cybersecurity lens
- Currently pursuing a degree in a relevant field (e.g., Computer Science, Data Science, Cybersecurity)
- Strong interest in assurance, risk, and cybersecurity and in exploring the security of generative AI and the use of large language models (LLMs) within a company
- Strong analytical and problem-solving skills in reviewing the results of validation testing and system implementation
- Proficiency in Python, intellectual curiosity and eagerness to learn
- Demonstrates accountability, strives for high-quality outcomes, detail-oriented, highly professional and able to maintain confidentiality on sensitive information
- Capable of working autonomously, taking initiative, and managing time and multiple tasks efficiently to meet deadlines
- Strong communication skills and ability to articulate and present work effectively
- Ability to work effectively with team members in a collaborative environment, actively contribute ideas, and be pleasant to work with
Introduction
The intern will support the Internal Audit team in technology auditing, leveraging AI validation tools, and automation initiatives. The key responsibilities include developing audit programs, performing assurance reviews, conducting risk assessments, exploring automation opportunities, and evaluating AI validation toolkits.
Responsibilities
Assurance Augmentation
Assurance Augmentation
The intern will support the Internal Audit team in technology auditing, leveraging AI validation tools, and automation initiatives. The key responsibilities include developing audit programs, performing assurance reviews, conducting risk assessments, exploring automation opportunities, and evaluating AI validation toolkits.
Responsibilities
Assurance Augmentation
- Develop and review audit programs referencing industry frameworks to identify non-compliance and control weaknesses
- Perform risk assessment of the gaps to identify potential impact and associated risks
- Explore automation opportunities of audit testing and review by leveraging enterprise RPA tools
- Explore different AI validation toolkits (e.g. AI Verify Toolkit and MS Pyrit) and AI management standards (e.g. ISO 42001) to enhance AI audit objectives
- Review the AI validation tools to help identify the scope of the validation and mapping them against types of AI enabled applications and risks
- Build or setup an AI validation platform incorporating the AI validation tools and frameworks
- Perform evaluation of the AI validation platform against AI-enabled applications
- Identify opportunities in automating these tools and document in details the customisation, configurations and processes
Assurance Augmentation
- Gain knowledge of IT and cybersecurity controls and industry frameworks
- Experience in identifying risks arising from non-compliance and weaknesses in controls
- Experience in communicating risk assessment for alignment with different lines of defence
- Gain knowledge on system controls, technical architecture and governance processes
- Pick up robotic process automation (RPA) skills
- Experience in the AI and technology policies and management decision-making processes
- Experiment with emerging AI validation toolkits and frameworks
- Gain knowledge in cross-functional control assessment processes on AI adoption
- Gain knowledge in validating AI applications from governance and cybersecurity lens
- Currently pursuing a degree in a relevant field (e.g., Computer Science, Data Science, Cybersecurity)
- Strong interest in assurance, risk, and cybersecurity and in exploring the security of generative AI and the use of large language models (LLMs) within a company
- Strong analytical and problem-solving skills in reviewing the results of validation testing and system implementation
- Proficiency in Python, intellectual curiosity and eagerness to learn
- Demonstrates accountability, strives for high-quality outcomes, detail-oriented, highly professional and able to maintain confidentiality on sensitive information
- Capable of working autonomously, taking initiative, and managing time and multiple tasks efficiently to meet deadlines
- Strong communication skills and ability to articulate and present work effectively
- Ability to work effectively with team members in a collaborative environment, actively contribute ideas, and be pleasant to work with