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 products and solve the most pressing business challenges, please read on.
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 products that go beyond traditional banking. Achieving this vision will require us to build and expand on our analytics effort and organize ourselves around focused-value buckets with strong coordination capabilities of data, technology, customer journey and UX, as well as external partnerships.
ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organizations within the banking sector and beyond. The team consists of a number of Global Analytics Centers of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence) as well as strong coordination areas around data management, technology, customer journey and UX, as well as external partnerships.
Risk and Pricing Advanced Analytics Team
The Risk and Pricing Team is a global Centre of Excellence (CoE) of ING Group, providing our organization with Machine Learning expertise at a global level across all domains and businesses. Our team is based in Amsterdam and consists of 10 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. We offer a world-class working environment for data scientists.
As a Senior Data Scientist you will be assigned to one or two machine learning projects at a time, working together with other data scientists and actively engaging with stakeholders. Projects include credit decision models built on transactional data that will enable instant lending for our customers. In normal non-pandemic times, these projects give you the opportunity to travel to European cities such as Paris, Frankfurt, Istanbul and Madrid for about 20% of your time. You are able to successfully and if necessary independently run a data science project. Some projects require you to teach data science fundamentals to local stakeholders. You will collaborate with machine learning engineers to bring advanced models to production.