Senior Auditor - Data & AI
Stellenbeschreibung
Overview
In this role you partner data science with internal audit to strengthen risk identification through data-driven tests. You will execute audits across diverse areas, turning data into actionable findings with Python, SQL, and AI techniques. You’ll build AI-assisted methods to detect anomalies at scale and communicate insights to non-technical stakeholders. Your work supports the annual risk assessment and helps shape a forward-looking, tech-enabled audit function. This is a chance to influence risk governance while growing your expertise in data and AI within a global financial firm.
Leistungen / Benefits- competitive compensation with daily lunch allowance
- global professional environment and collaborative culture
- premium facilities and on-site gym
- community engagement and volunteer opportunities
- performance-based bonuses and career development via PG Academy
- sabbatical program after five years of service
- Lead and independently execute data-driven audit engagements across diverse business areas
- Apply Python, SQL, and related tools to extract, transform, and analyze large and complex datasets
- Design and deploy AI-assisted audit techniques, including ML models and anomaly detection
- Communicate complex data findings in clear, non-technical language to stakeholders
- Contribute to the annual risk assessment and audit plan with data-driven insights
- Continuously develop expertise in data and AI, bringing new tools and improvements to the audit function
- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Accounting, or Finance, with 3–5 years of relevant experience
- Strong proficiency in Python and SQL
- Practical experience applying AI and machine learning to real-world problems
- Broad IT literacy including databases, cybersecurity fundamentals, and cloud environments
- Ability to navigate complex technical landscapes with confidence
- Curious, technology-first mindset; data-driven problem solver; openness to value creation through data/AI in audit
- Strong communication and stakeholder engagement
- Curiosity and learning mindset
- Collaborative and cross-functional work style
- Python
- SQL
- AI/ML techniques
