Internship Opportunity: AI for Audit at KPMG Nederland

Amstelveen, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

15 Mar, 26

Salary

1000.0

Posted On

15 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Graph Neural Networks, Machine Learning, Programming, Data Science, Explainable AI, Representation Learning, Collaboration, Financial Systems, Audit Processes

Industry

Financial Services

Description

Company Description This internship within KPMG's Digital Assurance and Innovation team in Amstelveen, focuses on applying Graph Neural Networks (GNNs) to financial transaction data, aiming to revolutionize audit processes. As audits increasingly rely on large volumes of digital records, traditional manual methods struggle to scale. This project introduces a novel approach by modeling transactions as graphs, enabling detection of anomalies such as fraud or misstatements. Your work will help auditors identify high-risk transactions efficiently and reliably, while ensuring transparency through Explainable AI. This is an opportunity to develop scalable, interpretable tools that make a real impact in high-stakes financial engagements. Job Description Explore and implement Graph Neural Network architectures for audit Apply representation learning techniques to audit use-cases Integrate Explainable AI methods to ensure interpretability of developed methods Collaborate with researchers and auditors to align technical solutions with audit requirements Develop, evaluate, and document methods in collaboration with academic supervisors at KPMG and UvA, with the aim of publishing your results in top-tier venues Qualifications Currently enrolled in a Master’s program in Computer Science, Data Science, AI, or related field. Strong programming skills and familiarity with machine learning frameworks. Knowledge of graph-based models and neural networks. Interest in financial systems and audit processes is a plus. Additional Information KPMG buddy who will help you along the way An attractive internship allowance of €1,000 per month when working full-time A laptop At KPMG we work hybrid, so you can work from home and at the office. A good way to earn a starters position at KPMG Access to a professional network with lots of knowledge and experience Social activities with your colleagues You earn a day of paid holiday leave per month Flexible hours to combine work and your appointments with the university or other obligations

Responsibilities

The intern will explore and implement Graph Neural Network architectures for audit and apply representation learning techniques to audit use-cases. They will also collaborate with researchers and auditors to align technical solutions with audit requirements.