Chapter Lead Credit Regulatory Modeling

Chapter Lead Credit Regulatory Modeling

ING Group

Brussels, Belgium

Position Overview

The Lead Consumer Credit Risk position is a permanent, full-time opportunity based in Brussels, requiring fluency in English. This role is embedded within the Regulatory Modelling Team, an energetic and international group of highly qualified professionals working under the Integrated Risk Department. The team holds a key responsibility in optimizing capital usage for ING Belgium’s credit outstanding book, making a significant contribution to the bank’s Return on Equity target.

Key Responsibilities

As a lead credit risk modeler at ING, you will manage a team of modelers tasked with developing and maintaining models that are essential for calculating Regulatory (Basel III) Credit Capital and IFRS9 models. Your responsibilities include:

• Owning, setting up, and steering the modelling roadmap;
• Analyzing and interpreting market evolutions and trends;
• Understanding and maintaining IRB and IFRS9 credit scoring models;
• Analyzing and reporting on model performance;
• Providing insights and support to stakeholders regarding both local and group models.

Team Leadership and Collaboration

Within the Regulatory Modelling Team, you will be responsible for executing and supervising the quality of regulatory roadmap deliveries. You will mentor and energize the team of modelers daily, identify learning and development opportunities for individual team members, and coach teams remotely, particularly those working from HUB locations in Poland and Turkey. Collaboration with the ING Head Office in the Netherlands and international colleagues is a vital part of this role.

Your duties also include defending and presenting high-quality reports to senior management, CRO staff, model validation, audit teams, and regulatory bodies such as the European Central Bank and Joint Supervisory Team. You will act as a spokesperson in meetings with model validation teams, senior management, internal and external audit, and the ECB/JST.

Candidate Profile

The ideal candidate will possess an academic degree (preferably a PhD) in Econometrics, Mathematics, Physics, Economics, or another quantitative/numerical discipline. Practical experience with AIRB models and insight into both current and forthcoming ECB regulations is required. Strong communication skills and proven leadership abilities are essential for success in this role.

Additionally, candidate should demonstrate:

• An independent, creative, and proactive approach to work;
• A critical yet positively constructive mindset;
• Persuasiveness and the capacity to build productive stakeholder relationships;
• Team player mentality and experience as a mentor;
• Excellent communication skills.