Model Risk Quant

Discover Your Impact as a Model Risk Quant at Rabobank

This is what we offer you

• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

At Rabobank, models are at the heart of our digital transformation, regulatory compliance, and critical banking processes—from client due diligence and pricing to stress testing. These models enable us to do more with less: more lending with less capital, and better client experiences with smarter tools. But with great power comes great responsibility—models also carry risk. That’s where Model Risk Management (MRM) comes in. We ensure that models across the bank are fit for purpose, accurate, and used as intended. Through rigorous validation, business advisory, and robust governance, we help Rabobank make sound decisions, stay compliant, and protect against financial and reputational loss.

You and your job

As a Junior Model Risk Quant, you will contribute to model validations and assessments across two key domains:

• 50% of your time will be spent in the Non-Financial Model Risk domain, focusing on models used in areas such as Financial Economic Crime (FEC), Fraud & Conduct, IT and HR. These models are increasingly data-driven and complex, requiring a strong quantitative foundation and a growing understanding of the business context in which they operate.
• The remaining 50% of your time will be dedicated to the Core Model Risk domain, with a focus on Credit Risk models. These include models used for regulatory capital, loan origination, and credit decisioning, which are central to Rabobank’s lending activities and risk management.

You will report to the Manager Regulatory & Analytics of the Non-Financial Model Risk domain, and work closely with colleagues across both domains. This dual role offers a unique opportunity to build broad expertise in model risk management, gain exposure to diverse modelling techniques, and contribute to validations that span both regulatory and business-driven contexts.

Facts & Figures

• 43,822 Rabobank colleagues around the world
• Exposure to all the risk types across the bank

Top responsibilities

• Validate models to ensure they are robust, compliant, and aligned with business goals.
• Assess data quality, model assumptions, and performance metrics.
• Use advanced analytics and machine learning to enhance validation techniques.
• Write clear, insightful validation reports for diverse stakeholders.
• Collaborate with Model Risk Managers and developers to align with internal frameworks and regulatory expectations.

Rabobank is a Dutch bank with a global presence in 38 countries, serving over 9.5 million customers. Together with our members and partners, we work toward a world where everyone has access to healthy food and a Netherlands where people thrive in how they live, work, and do business.

You and your unique talents

You are eager to learn, take ownership of your work, and are motivated by making a meaningful impact. You enjoy working with others, are curious about solving complex problems, and are open to feedback and growth. You bring:

Key behaviours:

• Analytical thinking and critical evaluation
• Clear communication
• Proactive problem-solving
• Strong time management skills
• Affinity with stakeholder management
• Innovation mindset and openness to new technologies

Key skills:

• Hold a Master’s degree (or PhD) in a quantitative discipline such as Mathematics, Econometrics, Data Science, or Finance
• Excellent English communication skills, both in writing and in oral communication
• Some experience or exposure to banking, data science, or risk management
• Strong time management skills to effectively split focus between two domains
• Strong interpersonal skills and the ability to communicate technical findings clearly to both technical and non-technical stakeholders
• Proficient in Python or a similar programming language
• Familiarity with tools and technologies such as Jupyter, Git, Azure Devops, Github Copilot, Databricks and query languages like SQL is a plus