Quantitative Risk Analyst

We at, ING DBNL, are looking for a Quantitative Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department (IR).

The team

The IR team consists of enthusiastic colleagues who join forces and listen to each other in order to combine and share knowledge, leading to:

• An economically justified credit risk policy (risk appetite).
• Effective strategic decision making via well maintained credit risk models .
• A risk policy centralising the customers' interest.
• Meeting the internal and external guidelines.
• A thriving work environment.

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 ( scorecards, EWS) and Model Life Cycle.

Technical skills should include extensive experience in using data modelling software/ or coding (SAS, Python, R ) Having soft skills are equally important; such as strong communication and presentation skills, being a self-starter, autonomous, good team player, organized ( documentation, scripting), creative/ design thinking and agile.

Does it sound interesting? Please read on!

Role & responsibilities

Your 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:

• Develop and maintaining models for measuring and managing credit risk for Dutch Portfolio.
• Model development of regulatory models for IRB-modelling.
• Forecasting and describing developments in provisions, risk costs, RWA and arrears are important components.
• Model development for credit decision models, in life management models (EWS etc.)
• Delivery of bank wide ESG strategy and supporting managing and analysing ESG risk.
• Supporting ING Bank Netherlands new products, processes via measuring credit risk
• adequately and support decision making.
• Collaborating with Risk managers within the department to develop and validate an adequate credit risk policy.
• Collaborating with the front office, as well as the ING Group Risk and Finance departments, to align the various interests and to exchange knowledge.
• Collaborating with IT system owners, to ensure adequate data/platform management.
• Work according to ING's one Way of Working (agile WoW)

How to succeed

• More than 5 years of experience in Credit Risk Modelling, including relevant experience in IRB modelling and/or Credit Decision modelling.
• Deep knowledge of quantitative methods and techniques, experience with Data Science and Machine Learning combined with business knowledge of Credit Risks.
• MSc degree or PhD in mathematics, physics, econometrics
• Experience with development of (credit) (risk) models
• Excellent knowledge of statistics and/or mathematics
• Excellent knowledge of programming, preferably in SAS Base, SAS Macro Language, SQL, VBA and Python
• Experience with risk modeling and business tooling, specifically SAS EG, MS Access, MS Excel, SharePoint
• Experience with (central) data gathering and processing
• Knowledge of banking and financial industry, financial and lending products, and processes
• Experience in being a sparring partner/advisor to senior management
• You have strong analytical and problem-solving execution skills
• Excellent communication skills writing and reporting in English. Dutch is a plus.

Rewards & benefits

We want to make sure that you can 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:

• Hybrid working mode (flexible working from home and office).
• A salary tailored to your qualities and experience
• 24-27 vacation days depending on the contract.
• Pension scheme.
• 13th-month salary.
• Individual Savings Contribution (BIS), of your gross annual salary.
• 8% Holiday payment.
• Personal growth and challenging work with endless possibilities.
• An informal working environment with innovative colleagues.
• Work Agile, so new ideas come to life faster.

Interest...