Credit Risk Modeler

Role purpose: Develop, validate, and maintain credit risk models that support underwriting, portfolio management, and regulatory compliance, enabling accurate risk measurement and data-driven credit decisions.

Core responsibilities

Design, build, and implement credit risk models (e.g., PD, LGD, EAD, scorecards) using statistical and machine learning techniques.
Perform model validation, back-testing, benchmarking, and sensitivity analysis; document findings and remediation plans.
Monitor model performance and stability; manage recalibration and periodic reviews.
Translate business requirements into analytical solutions; partner with underwriting, finance, and risk stakeholders.
Prepare model documentation for internal governance and regulatory expectations (e.g., model risk management).
Ensure data quality, feature engineering, and reproducible pipelines; support production deployment with technology teams.

Required skills and qualifications

Credit risk analytics: Experience with retail, SME, or corporate credit modeling and portfolio risk metrics.
Quantitative methods: Regression, survival analysis, time series, segmentation, and model interpretability.
Programming: Proficiency in Python and/or R; SQL for data extraction and transformation.
Model governance: Familiarity with validation standards, audit-ready documentation, and regulatory frameworks.
Communication: Ability to explain model assumptions, limitations, and impacts to non-technical audiences.

Credit Risk Modeller– Data Analytics Early Career Program

How will you help Rabobank make better credit risk decisions through data, analytics and modelling?

Discover your potential during this Data Analytics Early Career Program at Rabobank.

You and your role

Can you connect data, modelling and business reality to create meaningful insights?

As Modelling Early Career Professional, you know the secrets of turning data into meaningful models and insights that help Rabobank make better risk decisions. You will work within tribe Credit Analytics in a team of experienced modelling professionals, supporting the development, monitoring and maintenance of risk models. Specifically, A-IRB models and IFRS9 Models for PD, LGD and EAD and also Early Warning Signals Models (EWS). The work is fast paced, offers a steep learning curve and combines analytical thinking with regular stakeholder interaction. You will contribute mainly the modelling activities and the associated ad-hoc analyses required to develop new models or maintain or enhance the existing models while learning from experienced colleagues.

“Join a team where you can learn quickly, work on meaningful modelling challenges and grow alongside experienced professionals in a collaborative and international environment.”

- Anil Kumar Ravulakollu, Product Manager Rural.

In short

Support the development, enhancement and maintenance of credit risk models.
Perform data analyses, create code solutions and document outcomes.
Present insights and findings to stakeholders and support decision-making.

You and your future

How do you turn complex data into insights that support both business goals and regulatory requirements?

You will work on credit risk modelling for the Bank’s Rural and Corporate portfolios. You will support the development, monitoring and improvement of risk models while working closely with experienced colleagues. You will analyse data, build and improve code, document findings and present your insights to stakeholders.

And then? After completing the programme, you will have developed strong quantitative, analytical and stakeholder management skills. You will have gained experience in a highly specialised field within banking and be ready to continue your career within Rabobank in a risk modelling role.

You will join an international team where English is the primary language. Alongside your work, you will further develop yourself through the Data Analytics Early Career Program and build a valuable network across Rabobank.

Practical

Ready to launch your career in a fast-paced and highly analytical environment?

Length: Data Analytics Early Career Program: 18 months
After which you will continue to work with us within this role.
Hours per week: 40
Salary: €4007,80

Your growth in the Data Analytics Early Career Program

At Rabobank, we believe real growth comes from doing. From celebrating successes and learning from the moments that could have gone differently. That is why we offer you the perfect balance between freedom and guidance.

The Data Analytics Early Career Program is all about your development. You will intentionally invest in discovering who you are, what drives you, and how you want to grow as a professional. You will be challenged to step outside your comfort zone and explore where your strengths truly lie, sometimes in places you did not expect yourself. Through these experiences, you will learn where you can make the greatest impact.

And you will not do it alone. Every Friday, we come together at the office with the Data Analytics community. In an open and informal environment, we share knowledge, experiences, insights, and learn with and from each other.

From day one, you will build a strong and valuable network that will benefit you throughout your career. Throughout the entire programme, you can count on intensive support from experienced colleagues. Whether you want to specialise in a specific field or explore what energises you most, your growth always comes first

Learning from each other

Development is our top priority. Because the best way to learn is by doing, through mistakes and successes. At Rabobank we offer you the right balance between freedom and supervision. To develop talents, you never thought you possessed. To specialise in a professional field or explore the things you are good at and enjoy doing. During your Data Analytics Early Career Program, you can count on us for excellent supervision. You will work with experienced colleagues and have lots of contact with young professionals.

Work on your own development & shape the world around you

For us, your development and that of society go hand in hand. That is why we want to invest in you and work together towards a better world. We summarise this in one sentence: “At Rabobank, you work on yourself and the world around you at the same time.”

This is reflected in your personal development budget, our hybrid work environment and a healthy balance between work and private life. You can contribute to solutions for our clients, while also helping Rabobank address societal challenges and fulfil our mission: Growing a better world together.

We believe everyone should feel welcome, valued and able to be themselves. Diversity, equity and inclusion are important parts of our culture, because different perspectives help us make better decisions and create more impact.

You and your talent

Do you enjoy solving complex analytical challenges and explaining your insights clearly to others?

Master's degree in Econometrics, Quantitative Finance, Economics, Applied Mathematics, Applied Physics, Engineering or a similar quantitative field.
Experience with Python or another programming language.
Knowledge of SQL and data analysis.
Strong analytical and numerical skills.
Clear communication skills and the ability to explain complex results simply.
Knowledge about Credit Risk Modelling is a plus.
Curiosity, learning agility and an open attitude towards feedback and collaboration.

This is what we offer you

Salary: Gross monthly salary between EUR 3,516 and EUR 5,021 (scale 07) for a 36-hour work week.
Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
Development budget: EUR 1,400 development budget per year for your growth and development.
Hybrid working: a balance between home and office work (possible for most roles).
Pension: decide for yourself the amount of your personal contribution.

Finance

Business

Business Support

Technology

Hubs per Sector

Credit Risk Modeler

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