Role overview
As part of the team, you will help creating innovative scalable data driven solutions in the space of Financial Crime Transaction Monitoring. You proactively work with multiple teams to implement these solutions across the organization by assuring close alignments on the technical requirements and delivery.
- You have at least 4 years of (global) work eperience in the Data Science space (methods, technology, data) including statistical modelling and machine learning eperience to solve business questions and/or develop (innovative) data driven products
- Eperience in applying data science to prevent and detect financial crimes (e.g. internal/eternal fraud, money laundering, terrorism financing, ta evasion, …) is a strong plus
- Scikit-learn Professional Practitioner certificate is a plus
- You have ecellent communication skills and you can eplain complicated subjects clearly
- You are friendly and approachable and are able to mentor junior data scientists
- You are capable of working collaboratively in a semi-remote, globally distributed team.
- Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose
- You are motivated to keep on top of the latest developments
- You have etensive knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to cutting-edge neural networks and are able to match them to business problems
- You are able to see where ING can set further steps towards becoming a truly data driven bank. You’re always thinking one step ahead, for eample in advising about the best way of implementation.
- You are a team player who strikes effective balance between independence and acting in the interest of the team
Questions? Just ask
Reinier Bekker
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