Data... ING... ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of...
ING Analytics
ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector.
The ING Analytics group is a major driving force in ING’s transformation, aimed at helping us to become a data-driven digital leader and creating tangible value for ING and its customers through world-class analytics models, products, and services.
Risk and Pricing Advanced Analytics Team
The RPAA Team provides ING with machine learning expertise for the development of the Risk and Pricing models in scope. We are based in Amsterdam and consist of 11 highly-skilled and talented Data Scientists from diverse nationalities and backgrounds (such as physics, statistics, maths, computer science, econometrics, astrophysics). We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects through collaboration and knowledge sharing. The portfolio of projects is broad and uses a wide range of algorithms and tools, but all relate to risk and pricing. In short, we offer a world-class working environment for data scientists to make an impact and never stop learning.
What you’ll do
As a Data Scientist, you will be
Who are you?
Required skills
What we offer
About ING’s Think Forward strategy
ING’s purpose is to empower people to stay a step ahead in life and in business. We enjoy strong brand recognition throughout the banking industry with a high degree of recognition from customers in many countries, a strong financial position, an omnichannel distribution strategy, and an international network.
If you want to work in an environment where you believe that you can make a difference by using machine learning to generate data-driven solutions and solve the most pressing business problems, then this position is for you.
We are incredibly excited about Advanced Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing “anytime, anywhere, personalized” services to our customers. We want to improve our operational processes and create new and innovative data-driven solutions that go beyond traditional banking. Achieving this vision requires us to build and expand on our analytics effort and organize ourselves around focused-value buckets with strong coordination capabilities in data, technology, customer journey, and UX, as well as external partnerships.
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