econometrie-vacature.nl

Master Thesis Topic AI Powered Data Migration Auditing

13-02-2026
Max. 650
Student
Rotterdam
As a Master Thesis Topic AI Powered Data Migration Auditing at NN ontwikkel je een AI-framework voor audit-ready reconciliatie van medallion-layer migraties: detecteer aggregatiemismatches, verklaar dataverlies, track lineage/provenance en lever cryptografisch verifieerbaar bewijs.

Large‑scale data migrations at NN must not only transform and clean massive datasets but also prove, with full auditability, that the numbers still add up. Manual reconciliation is slow, error‑prone, and costly, especially under the scrutiny of DNB audits. This thesis tackles that challenge by designing an AI‑supported framework that automatically verifies numeric and provenance consistency across medallion‑layer migrations (bronze → silver → gold). The goal is to detect and explain aggregation mismatches, infer transformation impacts, and produce cryptographically verifiable evidence packages, from lineage graphs to signed aggregate proofs, that are both human‑readable and audit‑ready. By combining statistical analysis, machine learning, and provenance tracking, the resulting prototype aims to deliver faster, reproducible, and trustworthy audit artifacts, dramatically reducing manual effort while strengthening NN’s compliance posture.

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

It is important to us that you continue to develop yourself. We give you the space and the confidence to grow in your career as well as a person. We help you with:

  • 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. Our team offers plenty of room for learning and personal development. 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, an organization that offers a wide range of opportunities. You will work within the Life & Pensions business unit, focusing on innovation in compliance and risk management processes.

Any questions?

You can reach out to Rowena Taal, Internship coordinator, via stagebureau@nn.nl.

Are you unsure if you meet 100% of the requirements? We encourage you to apply anyway and show us the unique value you could bring!

Bij NN geloven we dat onze kracht ligt in het omarmen van de volledige diversiteit van de mensheid. We erkennen en waarderen ieders uniciteit en bijdrage, wat ons in staat stelt om te groeien: als individu, als team en als organisatie. 

Diversiteit, Gelijkheid en Inclusie zijn verankerd in onze cultuur, die wordt geleid door onze kernwaarden: care, clear en commit. Deze waarden helpen ons om een werkomgeving te creëren waarin iedereen zich welkom, gerespecteerd en trots voelt om deel van uit te maken.

Be you. You have our support.


Solliciteren

Please send your application for Master Thesis Topic AI Powered Data Migration Auditing at NN in Rotterdam via the button.

Direct solliciteren

Contactpersoon

Rowena Taal, 

Internship coordinator, 

stagebureau@nn.nl

Gerelateerde vacatures

Interesse in meer mogelijkheden? Bekijk deze vacatures binnen hetzelfde vakgebied. Wellicht zit jouw volgende uitdaging ertussen!
NN
4.547 - 6.496
Medior
Zwolle
Als Data Engineer bij ABN AMRO Verzekeringen bouw je aan continue data delivery op het AAV Dataplatform: data verzamelen, structureren en integreren, ETL en datamodellen ontwikkelen, datakwaliteit bewaken en datasets...
APG
3.913 - 5.590
Medior
Heerlen, Amsterdam
Als Data Steward Datamanagement bij APG geef je inzicht in datakwaliteit: Data Onder Regie uitvoeren, rapportages maken, data ontsluiten en analyseren met SQL, data lineage in kaart brengen en Data...
Van Straaten
In overleg
Medior, Junior
Boesingheliede, Schiphol area
Als Medior IT Workflow & Integration Engineer bij Van Straaten ontwerp, optimaliseer en beheer je workflows in Esko Automation Engine, bouw je integraties met servers/databases/printers, schrijf je SQL en JavaScript,...
NN
3.517 - 5.025
Junior
Den Haag
Als Junior user/UX researcher bij NN analyseer je klantgedrag en verbeter je klantreizen via interviews, usability tests, surveys en data-analyses. Je deelt inzichten met teams en helpt oplossingen gebruiksvriendelijk en...

Overige vakgebieden

Bekijk deze vacature ook op de volgende websites