- Explore and implement Graph Neural Network architectures for anomaly detection.
- Apply representation learning techniques to financial transaction graphs.
- Integrate Explainable AI methods to ensure interpretability of flagged anomalies.
- 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 producing publishable results for leading international venues in machine learning
Qualifications :
- Currently enrolled in a Masters 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 1000 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
Remote Work :
No
Employment Type :
Full-time
Explore and implement Graph Neural Network architectures for anomaly detection.Apply representation learning techniques to financial transaction graphs.Integrate Explainable AI methods to ensure interpretability of flagged anomalies.Collaborate with researchers and auditors to align technical soluti...
- Explore and implement Graph Neural Network architectures for anomaly detection.
- Apply representation learning techniques to financial transaction graphs.
- Integrate Explainable AI methods to ensure interpretability of flagged anomalies.
- 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 producing publishable results for leading international venues in machine learning
Qualifications :
- Currently enrolled in a Masters 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 1000 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
Remote Work :
No
Employment Type :
Full-time
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