FEC Applied Data Scientist Sanctions (Senior Professional)

• Gross monthly salary between €5,381 and €8,456 (scale 10)
• 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

Or view all our benefits.

Grading for this role will be in scale 9 or 10, determined by your profile and professional experience

Navigating the fast-changing sanctions landscape is a challenge that requires quick iterations on innovative ideas. As an Applied Data Scientist, you will bridge the gap between data science and engineering. To do this successfully, you also master the fundamentals of the regulatory context we are in. 

You will steer the development of scalable, production-ready solutions that future-proof our sanctions detection capabilities. From ideation to deployment, you are involved in the full lifecycle of technical innovation. In a team of primarily data scientists, you have a distinct role focusing on the technical expertise to actually implement solutions.

• Building and hosting a scraper of websites of issuing authorities to keep sanctions compliance at the highest level
• Create a business case with tangible results around a multi-agent screening alternative to the regular sanctions screening
• Aid in bringing a Python-based machine learning model in production and connect the outputs of the model to the downstream applications

• 36 hours per week
• You will join a close team of 8 ambitious and strongly analytical colleagues
• More than 49,000 Rabobank colleagues around the world

• Turn Python-based proof-of-concepts into scalable, maintainable applications, and build APIs around machine learning models for integration with other systems
• Develop an analytical solution and deploy the solution in the Azure cloud infrastructure
• Identify sanctions risk gaps and develop a proof-of-concept model to address the gap and pitch to senior stakeholders

One of the responsibilities the team that you will join is to develop and improve sanctions models that screen millions of transactions and clients for sanctions risk. Due to the changing and growing domain, there are many opportunities for improvement. Once the business cases are aligned with the risk that should be covered, proof-of-concepts should be developed and when showing value productionalized. You are expected to take the lead in this end-to-end process.

We believe in the power of difference. Bringing together people's differences is what makes us an even better bank. So we are very curious about what you can bring to our team at Sanctions Tech Innovation.

"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."- Hao Sun, FEC Data Scientist Sanctions

Your 8 direct colleagues in Sanctions Tech Innovation all have a strong analytical background and create innovative solutions to improve sanctions detection. Working together is the way we work; as 1 problem-solving team at Rabobank. Talking of Rabobank: we are a Dutch bank that operates in 35 countries for over 9 million customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands we work to create a country in which people are happy with how they live, work and do business.

• You bring 6+ years of experience in the data science, MLOps, or data engineering domain, with a proven track record of leading end-to-end solution development and deployment.
• You have demonstrable affinity Azure Cloud and CI/CD practices using Azure DevOps, including extensive experience in designing, building, and maintaining Azure Pipelines for automated testing, deployment, and integration.
• You possess strong technical capabilities in Azure Authentication & Authorization, containerization (e.g. Docker, Kubernetes), monitoring & logging (e.g. Azure Monitor, Log Analytics), Power Automate, and API deployment and lifecycle management.
• You excel in communicating ideas clearly, identify opportunities and pitch these to stakeholders, drive stakeholder engagement and inspire team members.
• You have a strong affinity with the Financial and Economic Crime domain, specifically Sanctions, Adverse News and Politically Exposed Persons (PEP). Certifications like CGSS and/or CSS are a distinct advantage.
• You are driven by achieving meaningful results and delivering impact.
• You bring fresh perspectives and think outside the box to find innovative solutions.
• Overall command of English at C1 level or up is required. Dutch language skills are desirable. 

Submit your resume and motivation letter before July 25th 2025.

• Any questions about the job content? Contact: Willem Houck, FEC Data Scientist via Willem.Houck@rabobank.nl. - Acquisition in response to this vacancy is not appreciated.
• Any questions about working at Rabobank and the process? Lisa Boschma, recruiter, via lisa.boschma@rabobank.nl#LI-LB
• If you are selected for an interview, Bo, our virtual assistant, will reach out to you via SMS and email to schedule the interview.
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