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Jobfoundry
Temasek

Analytics & AI Innovation Associate (12 months contract), Internal Audit

Temasek
BusinessSG, 238891Full-time2 weeks ago
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About the role

AI summarised

The Internal Audit team at Temasek, a global investment company, is seeking an Analytics & AI Innovation Associate (12-month contract) to drive data analytics, AI, and automation in audit processes. The role involves leading end-to-end analytics projects, adopting Generative AI and LLMs, and developing dashboards to support risk monitoring. Candidates should have proficiency in SQL, Python, and visualization tools, with up to 4 years of experience in data analytics or AI.

BusinessFull-timeOthers

Key Responsibilities

  • Lead and deliver end-to-end analytics projects, from audit support to continuous monitoring initiatives.
  • Design and manage data pipelines across extraction, transformation, modeling, and visualization.
  • Maintain and evolve the analytics environment for structured, semi-structured, and unstructured datasets.
  • Build and expand an analytics library of risks, controls, and metrics to strengthen audit coverage.
  • Apply advanced analytics and machine learning to proactively identify risks and insights.
  • Lead the adoption of Generative AI (GenAI) and Large Language Models (LLMs) to enhance audit efficiency and insight generation.
  • Design, prototype, and integrate AI-powered solutions into core IA workflows (e.g., planning, documentation, control testing).
  • Apply and share prompt engineering and context design best practices to improve GenAI reliability and scalability.
  • Collaborate with Technology and Data teams to productionize AI and automation solutions.
  • Stay current with emerging trends in AI, data science, and audit technology, identifying practical applications for IA.
  • Develop and maintain dashboards, visualizations, and applications that support risk monitoring and audit execution.
  • Translate analytical outputs into clear, actionable insights for business and audit stakeholders.

Requirements

  • Proficiency in SQL, Python, and visualization tools (e.g., Tableau).
  • Expertise across the data lifecycle — from engineering (ingestion, transformation, modeling) to analytics, visualization, and automation.
  • Hands-on experience with GenAI platforms, including user-facing tools (e.g., ChatGPT, Claude, Copilot Studio) and developer APIs (e.g., OpenAI, AWS Bedrock).
  • Strong grounding in prompt engineering and context optimization, applying structured techniques for reliable, explainable outputs.
  • Able to translate technical insights into business impact through clear, persuasive storytelling.
  • Comfortable with ambiguity, filling gaps through structured thinking, initiative, and sound judgment.
  • Trusted, collaborative team player who builds strong relationships and integrates well within and outside of IA.
  • Curious and proactive, continuously exploring new tools, methods, and ideas to drive innovation.
  • Bachelor's or Master's degree in Data Science, Business Analytics, Information Systems, Computer Science, AI, or related field.
  • Fresh graduates to 4 years of experience in data analytics, data science, process automation, or AI.
  • Proven track record leading complex analytics or AI projects from concept to deployment.
  • Experience collaborating across cross-functional and business teams, influencing decisions through data-driven insights.
  • Translating business or audit challenges into AI and data-driven solutions with measurable outcomes.
  • Understanding of data governance and responsible AI principles.
  • Exposure to front-end data app development (e.g., Streamlit, Power Apps) preferred but not required.
  • Experience delivering AI or analytics solutions at scale.
  • Strong communication and presentation skills to engage and influence non-technical audiences.
  • Demonstrated curiosity, innovation, and impact orientation within teams or organizations.