Open Positions

A Senior Auditor specialized in Data & AI bridges deep technical expertise with internal audit practice, using data, AI, and modern tooling to sharpen risk identification, surface anomalies, and elevate the quality of audit insights. This is the right role for someone who is genuinely passionate about technology and AI, and equally comfortable applying that passion within a structured audit environment. 

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

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Accounting, or Finance, supported by 3–5 years of hands-on experience in internal audit, data analysis, or a meaningful combination of both
• Strong proficiency in Python and SQL, with confidence using data visualization tools
• Practical experience applying AI and machine learning techniques to real-world problems, beyond theoretical knowledge
• Broad IT literacy, including databases, cybersecurity fundamentals, and cloud environments
• Ability to navigate complex technical landscapes with confidence and ease
• A curious, technology-first mindset
• A natural inclination to use data and AI to answer questions, identify patterns, and solve problems
• Openness to exploring how data and AI can create value in an audit context