Wholesale Banking Advanced Analytics is known as a knowledge sharing and experimentation hub within ING. Nurturing research and incubating innovative ideas is in the core of our DNA. Every year we offer MSc students the opportunity to apply and develop their skills in real-world business problems by leveraging our Advanced Analytics capabilities.
We feel proud of the interns we mentored and the research developed within our tribe in topics relevant to Data Science, Software Engineering, UX Design, and Communication. We look forward to keep working closely with Academia and bring in top-talent to apply and develop their skills while having fun as part of a world class ING tribe. Below a portfolio of topics:
- Agent based transaction network simulation
- Conceptualization, knowledge and potential of big data in the context of the PR profession
- End-to-end learning from complex multigraphs with latent graph convolutional networks
- End-to-end learning of latent edge weights for graph convolutional networks
- Evolving regular expression features for text classification with genetic programming
- Uncertaintly analysis of predictions by recommender systems based on matrix factorization models
- End-to-end learning on multi-edge graphs with graph convolutional networks
- Generation of synthetic financial time-series with generative adversarial networks