The team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques— to obtain business insights and solve problems. We are actively involved throughout the entire lifecycle, from initial design to final implementation. Our stakeholders span all areas of the bank, including business, risk, retail, and corporate banking.
Our scope of work includes:
· Building and maintaining a robust codebase that supports the creation of ML models
· Training, deploying, and monitoring machine learning models tailored to various business needs.
· Conducting ad hoc data analyses
· Developing dashboards and tools to enhance data accessibility and support a more data-driven organization.
The employee will focus on developing an interactive dashboard for computing the profitability and risk assigned of a finance product.
For this purpose, we are looking for students interested in writing their thesis on this topic.
Location: Milan (hybrid)
Compensation: 1500€/month
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
