Competitive compensation with daily lunch allowance

What you'll do: Lead and independently execute data-driven audit engagements across diverse business areas, translating audit objectives into analytical tests that surface risks, irregularities, and outliers Apply Python, SQL, and related tools to extract, transform, and analyze large and complex datasets, turning raw data into actionable audit findings Design and deploy AI-assisted audit techniques, including machine learning models, anomaly detection algorithms, and LLM-based tooling, to proactively identify emerging risks and control weaknesses at scale Engage confidently with business stakeholders and audit leadership to communicate complex data findings in clear, non-technical language, bridging the gap between technology and audit judgement Contribute to the annual risk assessment and audit plan by surfacing data-driven insights and identifying technology-related emerging risks Continuously develop expertise across the data and AI landscape, actively bringing new tools, methods, and improvements into the audit function - helping to build a more technologically mature and forward-looking team.