Machine Learning Engineer Fraud Detection
Join our Tribe Fraud as a Machine Learning Engineer and help protect our customers and society from fraud!
The Team
Within our Tribe Fraud NL you will work in a squad of Data Scientists focusing on fraud detection. We detect fraud in all channels of ING retail bank, including cards, online banking and mobile banking. The environment and challenges we face in the field of fraud change daily. Our goal is to be always one step ahead. With every new iteration and every new insight, we make the bank safer and protect our customers from fraud.
The Data Science squad is responsible for developing and maintaining fraud detection models. We strive to make these future-proof and scalable, and have them complement expert-based rules. The team is an ambassador of data science in the fraud domain and actively participates in the data science community. In this team you will contribute to ING being the safest bank and a leading player in fraud detection.
Our data science workflow has been maturing over the years, with higher standards for coding, testing and documentation. Model development, deployment and monitoring has been significantly improved. However, there is still plenty of room for improvement, which is why we are looking for a Machine Learning Engineer to take our data science to the next level.
Roles and responsibilities
We are looking for a medior or senior Machine Learning Engineer to enable data science in fraud detection. You will work with data scientists to develop machine learning models and other data science solutions, while having a focus on the engineering aspects. This includes:
The team works in a hybrid way, meeting up together in Amsterdam for one day a week, while working remotely the rest of the week.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
Ideally you have an MSc or PhD degree with excellent academic results in the field of Physics, Mathematics, Computer Science, Artificial Intelligence or similar. You have strong analytical skills, affinity with IT and the ability to learn fast. You are fluent in English, fluency in Dutch is a plus.
As a Machine Learning Engineer in fraud detection, it is important to understand and have experience with most of the below.
We ask for 3+ years of experience in a Machine Learning Engineering role or similar.
More generally we look for a colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose and build creative solutions to problems.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at
The benefits of working with us at ING include: