Master Thesis Topic AI Powered Data Migration Auditing

Voor een masterthesis bij NN Group ga je aan de slag met het ontwerpen van een AI-ondersteund framework dat grootschalige datamigraties niet alleen transformeert en opschoont, maar ook volledig auditbaar kan aantonen dat de cijfers blijven kloppen. Handmatige reconciliatie is traag, foutgevoelig en kostbaar, zeker onder toezicht van DNB-audits. In deze thesis ontwikkel je een aanpak die numeric en provenance consistentie automatisch verifieert over medallion-layer migraties (bronze → silver → gold). Het doel is om aggregatieverschillen te detecteren en te verklaren, transformatie-impact af te leiden en cryptografisch verifieerbare evidence packages te genereren (van lineage graphs tot signed aggregate proofs) die menselijk leesbaar én audit-ready zijn. Door statistische analyse, machine learning en provenance tracking te combineren, beoogt het prototype snellere, reproduceerbare en betrouwbare audit-artifacts te leveren, met minder handmatig werk en een sterkere compliance posture voor NN.

Master Thesis Topic AI Powered Data Migration Auditing

What you are going to do

You will develop and validate an AI‑powered reconciliation framework that ensures numeric and provenance consistency across NN’s medallion‑layer data migrations, delivering audit‑ready proof for compliance with DNB requirements. The solution may combine statistical analysis, machine learning, provenance tracking and, where beneficial, autonomous agents to achieve its goals.

• Design methods to detect and localize aggregation mismatches after filtering, cleaning, and transformations
• Quantify and explain expected vs. unexpected data loss in migration pipelines
• Integrate statistical, ML, and provenance‑tracking techniques into a modular prototype, optionally enhanced by agents
• Generate human‑readable and cryptographically verifiable audit artifacts (lineage graphs, signed proofs, anomaly explanations)
• Evaluate the framework on historical NN migrations and synthetic benchmarks to measure accuracy and audit‑effort reduction

What we offer you

• Internship fee of € 650,- gross based on a 36-hour working week
• Plenty of training and learning opportunities in our Learning & Development Centre
• A large (international) network of colleagues who are keen to share their knowledge with you
• The autonomy to set out your own development path

Who you are

You have a strong passion for solving complex analytical challenges and applying AI technologies to improve processes in the financial and risk domains. You work in a structured way, think critically, and pay close attention to regulatory requirements and technical specifications. In addition, you bring:

• A degree or specialization in Computer Science, Data Science, Artificial Intelligence, Econometrics, or a related field
• Hands‑on experience with Python
• Solid knowledge of statistics, machine learning, natural language processing, and AI agent frameworks
• The ability to translate complex technical concepts into clear, well‑structured documentation and actionable solutions
• Self‑motivation and independence in planning and conducting research

Who you will work with

You will be part of the Data & AI team within the CIO department, a growing group of specialists who share a passion for creating impactful data and AI solutions. In this project, you will collaborate closely with colleagues from IT, business, and support departments to design and deliver AI-driven solutions for regulatory document generation.

Your employer will be NN Group. You will work within the Life & Pensions business unit, focusing on innovation in compliance and risk management processes.

stagebureau@nn.nl