Audit Data & AI Solutions Engineer

Role Summary

TRATON Financial Services’ Internal Audit department is looking for an Audit Data & AI Solutions Engineer to help build the next generation of audit technology.

Internal Audit is the third line of defense. We look for things others may have missed — the proverbial needle in the haystack. Our role is to assess whether controls designed to prevent mistakes, fraud, inefficiency, and regulatory breaches are actually working in practice.

For several years, we have successfully used source-system data, analytics, and dashboards to make audits more targeted and data-driven. Building on that foundation, we are now expanding into AI-enabled audit technology: automating parts of audit sample testing by drawing evidence-based conclusions from documents in multiple languages, identifying unusual assets or transactions, and building dashboards and applications that help auditors focus on what matters most.

You will be part of a small team within Internal Audit that builds the solutions to make this happen. The work spans hands-on data mapping, source-system analysis, Power BI or HTML dashboards, anomaly detection, machine learning, and agentic AI solutions for audit sample testing and document review.

This creates both opportunities and challenges. We can move quickly, test ideas, and learn through short feedback loops with auditors. At the same time, we do not have large predefined frameworks, methods, or roadmaps. We need people who enjoy building things in complex environments, can operate between data, software, AI, and business processes, and can create solutions that are structured, documented, trustworthy, and sustainable.

Job Responsibilities

As Audit Data & AI Solutions Engineer, you will build and maintain data, analytics, automation, and AI solutions that help Internal Audit assess controls and identify anomalies. That includes:

Retrieving, mapping, validating, and structuring data from source systems across brands and markets

Building analytics and alg