Junior Credit Risk Modeller - Data & Analytics Early Career Program

Help Rabobank improve credit risk decisions through data, modelling and stakeholder insights. Discover your potential during this Early Career Program at Rabobank.

You and your role

You will support the development, monitoring and improvement of credit risk models for the Income Producing Real Estate portfolio. You will work alongside experienced modelling professionals, use data to create meaningful insights, and contribute to models that support important credit risk decisions. You will gain hands-on experience with model development, monitoring and stakeholder management in an international environment.

You will start in a junior position within Tribe Credit Analytics, where you combine learning on the job with personal and professional development opportunities.

“Be part of a team where you take ownership from day one, tackle meaningful credit risk modelling challenges, and accelerate your growth alongside experienced professionals in a collaborative and international environment.”

Max Alkemade, Product Manager IPRE.

In short

• Supporting the development, enhancement and maintenance of credit risk models for the Income Producing Real Estate portfolio.
• Performing data analyses, creating code solutions and documenting outcomes for model development and monitoring.
• Presenting insights and findings to stakeholders to support better decision-making.

You and your future

You will work on your career by helping teams understand, monitor and improve data-driven models that support important business decisions. You will collaborate with colleagues from different backgrounds, combine technical analysis with stakeholder interaction, and learn how a large international bank operates. After completing the programme, you will have built a strong foundation in analytics, business impact assessment and stakeholder management.

Practical

• Length: Early Career Program: 18 months.
• After which you will continue to work with us as Junior Credit Risk Modeler.

Your growth in the Data Analytics Early Career Program

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.

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. 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.

You and your talent

• 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 outcomes in a simple way.
• Curiosity, learning agility and an open attitude towards feedback and collaboration.