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FEC Data Scientist: Sanctions Tech Innovation

18-02-2026
4.024 - 5.747
Medior
Utrecht
As a FEC Data Scientist: Sanctions Tech Innovation at Rabobank, you translate sanctions compliance needs into model features, analyze data to spot circumvention patterns and risk gaps, reduce false positives, and build proof-of-concepts for new statistical models.

This is what we offer you

  • Salary: Gross monthly salary between EUR 4,024 and EUR 5,747 (scale 08) 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.

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As a Data Scientist in Sanctions Tech Innovation, you play a key role in bringing business requirements on complying with international sanctions regulations into concrete solutions that fit the available data. You leverage your creative thinking and quantitative analysis skills to enhance existing screening solutions and assist in the development of new solutions.

You & your job

Being a gatekeeper to the financial system is easier said than done. In the rapidly evolving field of sanctions compliance, staying ahead means continuously adapting and optimizing models to ensure robust risk coverage across millions of clients and transactions. As a Data Scientist in this team that is part of the FEC Tech department, you will play a key role in developing innovative methods to mitigate sanctions risks and translating business requirements into model features.

Examples from practice

  • Perform data analysis uncovering common sanctions circumvention patterns.
  • Aid in developing statistical models that suppress false positive sanctions alerts.
  • Develop a business case for how network data can detect sanctions violations. 

Facts & figures

  • 36 hours per week.
  • You will join a close team of 12 ambitious and strongly analytical colleagues.
  • More than 49,000 Rabobank colleagues worldwide. 

Top 3 responsibilities

  • Translate business requirements surrounding sanctions circumvention risk into model features.
  • Using data analysis identify sanctions risk gaps and initiate proposals to cover them.
  • Developing proof of concepts for new statistical models in a project team of 2-3 other data scientists.

You contribute to an impactful mission by strengthening Rabobank’s capability to detect and mitigate sanctions risks with advanced analytics, rigorous modelling standards, and innovative approaches to risk identification.

Together we achieve more than alone

We believe in the power of differences. By combining people’s unique strengths, we become an even better bank. We are curious about what you add to our Sanctions Detection area within FEC Tech.

We’re a curious, collaborative team that thrives on solving complex problems with smart, ethical tech. Everyone brings their strengths, and we build on each other’s ideas to create real impact.” — Ofek Sverdlov, Project Lead in Sanctions Tech Innovation 

The 12 people in the Sanctions Tech Innovation team develop innovative datadriven methods that strengthen Rabobank’s sanctions detection capabilities. Collaboration defines how we work: as one results driven and dataminded team within Rabobank.

Work on yourself & the world around you

Your development and your positive societal impact go hand in hand. We invest in you while working together toward a better world. You benefit from your learning budget, a hybrid work environment and a strong worklife balance. You contribute to customer banking needs as well as global food and energy transitions.

Why everyone is welcome at Rabobank

We believe we become stronger by bringing together people who complement one another. By embracing differences, we bring out the best in each other. Diversity shows in knowledge, background and culture—and we strive for an environment where everyone can be themselves.

You & your talent

  • You have a background in Artificial Intelligence, Data Science, Econometrics or a related quantitative field.
  • You have at least 2 years of experience in advanced data science in a regulated environment.
  • Extensive hands-on experience in Python for developing and testing statistical models, experience with PySpark, SQL and Azure DevOps is a plus.
  • You enjoy working in a high-stakes environment, with both complex internal stakeholder fields as well as regulatory influences.
  • You are comfortable challenging the status quo continuously, identify problems and focus on delivering crafty solutions.
  • You demonstrate sound communication skills in translating complex technical insights into straightforward recommendations for non-technical stakeholders.
  • Experience with application productization and implementation of CI/CD pipelines using Azure DevOps is a distinct advantage.
  • To be considered for this role you must be located in the Netherlands, re-location is not possible for this role.
  • To be considered for this role a motivation letter is required. In your letter, please elaborate on your fit to a data science role in a regulated topic like sanctions.

You & the application process

This role will be open until fulfilment, therefore please apply as soon as possible. 

  • Applications can only be submitted via the vacancy and not via e-mail.
  • Acquisition from (recruitment) agencies is not appreciated.
  • Any questions about the job content? Contact: Marlon Oxley, Lead Sanctions Tech Innovation via Marlon.Oxley@rabobank.nl. 
  • Questions about working at Rabobank and the process? Contact Lisa Boschma, corporate recruiter, lisa.boschma@rabobank.nl #LI-LB
  • If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule it.
  • Answers to frequently asked questions can be found at rabobank.jobs/en/faq.
  • A reliability check is part of the procedure.
  • We respect your privacy.


Solliciteren

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