Data Scientist - Credit Risk Modelling

At a glance

We are looking for new medior colleagues to join our Non-Retail Credit Risk Modelling team within ABN AMRO's Risk Modelling department.

Effectively managing risks is essential in banking. The importance of modelling in core banking processes, such as risk management, is growing rapidly. New technologies, data sources, and data-driven solutions bring countless opportunities. These opportunities drive competition and increasing regulatory demands on data and models.

ABN AMRO is taking a proactive step by leveraging these opportunities to strengthen its competitive position. The Risk Modelling department aims to create risk models that enable risk-based decision-making and sustainable growth. Our models comply with regulations, accurately predict risks, and allow us to offer clients a sustainable price that aligns with their risk profile. Our team is committed to being at the forefront and cutting edge of these developments.

Your job

As a data scientist in the Non-Retail Credit Risk Modelling department, you play a key role in redeveloping credit risk models for various lending portfolios. You and your team are central to reshaping ABN AMRO's credit risk model landscape, one of the major challenges in the bank's risk management. In this role, you contribute to every phase of the model redevelopment cycle, from model initiation to internal validation and onsite inspections by DNB/ECB. You have advanced knowledge of statistics, coding, modelling decisions, and applicable regulations. You can clearly articulate your views and foster strong collaboration with stakeholders across the bank.

Working environment

ABN AMRO's Risk Modelling department is a young and international team consisting of over 150 professionals from diverse backgrounds. As the bank's centre of excellence for quantitative risk models, we play a crucial role in daily decision-making processes. Our models support activities like pricing deals, granting credits, and determining capital requirements. Our team thrives on intellectual challenges and has a hands-on mindset to deliver results. Collaboration is key to ensuring our work has maximum usability and a positive impact across the bank.

Your profile

• You have a master's degree or PhD in a quantitative field;
• You have >2 years' experience working in a credit risk modelling team e.g. IRB, IFRS9, Stress testing or related model development.
• You speak and write English fluently;
• You are an effective communicator, connecting easily with stakeholders on different levels of seniority;
• You are familiar with relevant coding languages, such as Spark, Python and SQL. Experience with Azure DevOps / git is a pre.
• You have thorough knowledge of banking and credit risk;
• You have thorough knowledge of rules and regulations and regulatory trends relevant for credit risk modelling (Basel, CRR, etc);
• Experience in working with DNB/ECB through communication and on-site inspections is a pre.
• Do you have what it takes to meet this challenge? Do you have experience with large projects with a strong quantitative character, and an eye for detail? Or are you a top talent in the field of quantitative risk management, and ready for the next step in your career? Look no further and apply to this role, we look forward to get to know you!

We are offering

We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.

In addition, we offer:

• An attractive gross monthly salary based on a 36-hour work week, including holiday allowanceand a flexible benefit budget.
• An excellent pension scheme, ensuring that you are well prepared for the future.
• Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
• Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
• Five "Banking for better days": extra days off that you can use for personal development or volunteer work.
• Personal development is key: you receive a development budget of €1,000 per year, which can accumulate up to €3,000.
• An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.

You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.

Interested?

Interested in this position? Please send us your application!

Your Future: Inclusive, Innovative, Sustainable

At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.

If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.

Disclaimer external recruitment agencies

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.

Use of AI in our application process

You're welcome to use AI to help write your CV or cover letter, as long as it reflects your own story. We review every application personally and without AI. During interviews, real time AI tools may not be used. With your permission, interviews can be recorded and supported by AI. This helps us keep the process fair, careful, and transparent.