Senior Credit Risk Model Developer | IRB/IFRS9 & AI

ING; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Salary tailored to experience

International career opportunities

Flexible working hours

Pension scheme

13th month salary

Holiday allowance

Job summary

ING NL is seeking a Quantitative Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department. The role focuses on IRB/IFRS9 credit risk models, Early Warning Systems, and ESG integration.

You will work in an Agile environment collaborating across Risk, Finance, Business, and IT to advance modelling, data, and AI capabilities. The successful candidate has 4–6 years in credit risk modelling, strong quantitative skills, and a PhD/MSc in a quantitative

Qualifications

• 4-6 years of experience in Credit Risk Modelling, including IRB, IFRS9 and/or Credit Decision models.
• Strong quantitative background with deep knowledge of statistical methods, with data science and credit risk domain experience.
• MSc or PhD in a quantitative field (e.g. mathematics, physics, econometrics).
• Proven track record in developing and implementing credit risk models.
• Solid expertise in statistics and mathematical modelling.
• Strong programming skills in Python, SAS (Base/Macro), SQL.
• Experience with analytical and business tooling (SAS EG, Excel, Access, SharePoint).
• Experience with data sourcing, processing, and large datasets.
• Good understanding of the banking industry, lending products, and credit risk processes.
• Hands-on experience or strong interest in applying AI/ML techniques in risk or analytics.
• Experience in interacting with and advising senior stakeholders and guiding junior analysts.
• Strong analytical mindset with the ability to translate complex problems into practical solutions.
• Clear and effective communication skills, with the ability to write and report in English at a professional level.

Responsibilities

• Develop, maintain, and enhance credit risk models for the Dutch portfolio, ensuring alignment with regulatory and business needs.
• Design and implement regulatory models for IRB and IFRS 9 purposes, contributing to methodological improvements.
• Analyse provisions, risk costs, RWA, and arrears, translating outcomes into actionable insights.
• Build and refine credit decision and in-life management models (e.g., Early Warning Systems).
• Contribute to ESG risk integration into credit risk frameworks and analytics.
• Support new products and processes with robust credit risk measurement and informed decision-making.
• Collaborate with Risk on policy development and validation for regulatory compliance.
• Work with front office, Group Risk, and Finance to align priorities and share expertise.
• Partner with IT and data teams to ensure reliable data and analytics environments.
• Apply advanced analytics and AI/ML techniques to improve modelling approaches and efficiency.
• Utilize Python-based libraries to enhance modelling workflows.
• Stay current on data science, AI, and credit risk developments and apply in practice.
• Operate effectively within ING's agile WoW.

Skills

Credit risk modelling

IRB

IFRS 9

Python

SAS

SQL

Excel

AI/ML

Stakeholder management

English communication

Education

MSc or PhD in quantitative field

Tools

SAS EG

SAS Base/Macro

Excel

Access

SharePoint

Python libraries

Job description

ING NL is seeking a Quantitative Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department. The role focuses on IRB/IFRS9 credit risk models, Early Warning Systems, and ESG integration.

You will work in an Agile environment collaborating across Risk, Finance, Business, and IT to advance modelling, data, and AI capabilities. The successful candidate has 4–6 years in credit risk modelling, strong quantitative skills, and a PhD/MSc in a quantitative