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ING is looking for...
ING DBNL is looking for a Quantitative Credit Risk Specialist to strengthen the Predictive Analytics team within the Credit Risk Management department (CRM).
Predictive Analytics is responsible for the (co-)development and management of regulatory and non-regulatory Credit Risk models with state-of-the-art modeling methods, tooling and data processing technologies. These models are core to the success of ING and they are applied for different purposes, amongst others to determine capital adequacy, loan loss provisions but also credit decisions and in-life & problem management of loans. The position offers excellent opportunities to broaden your model development, data management, and organizational skills within an Agile set up.
We are looking for someone with very strong analytical background, experienced with IRB rating system development/ methodologies as well as Credit Decision Models (e.g. scorecards, EWS) and Model Life Cycle. Technical skills should include very good SAS programming skills and experience with SAS E-miner or Python is a strong plus. This person should have soft skills such as strong communication and presentation skills, self-starter, autonomous, good team player, organized (e.g. documentation, scripting), creative/ design thinking and agile.
Does it sound interesting? Please read on!
What you will do
The core task is to make an analytical contribution in maintaining a healthy lending portfolio in the near and far future. Your role will be to:
How to succeed:
What we oﬀer
A job from 36 to 40 hours and a unique offer that fits in with the times of today. We take into
account your home situation and your ambitions and help you to balance work and private life. Discover our employment conditions.
To give you an idea, we will tell you about the benefits of working at ING:
With around 52,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to make a diﬀerence. We hire smart people like you for your potential, not your past. Our biggest expectation is that you’ll stay curious. Keep learning. Take on more responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.