Senior Data Scientist - CDD RNL Detection

This is what we offer you

• Gross monthly salary between EUR 5,115 and EUR 7,308 (scale 10) for a 36 hour week
• Thirteenth month's salary and 8% holiday allowance
• 11% 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

As a Senior Data Scientist Customer Due Diligence you can have social impact by detecting criminal behavior using analytics models to analyze Rabobank transactions of 8+ million customers.

You and your job
Preventing Money Laundering & Terrorist Financing is one of the key aspects for our society and our organization, and as a bank we play a major role in this field. The area Customer Due Diligence Retail NL (CDD RNL) Detection optimizes our current CDD models and uses advanced analytics methodologies to detect risks in the Retail NL customer portfolio and calculates a risk score for each customer.

As a Senior Data Scientist, you will establish best practices and maintain a culture of innovation and continuous learning within our area. Additionally, you are part of the larger Advanced Analytics Community within Rabobank which you can build on and contribute to, for example for acceleration of learning and development.

The CDD RNL Detection area is organized in 12 multidisciplinary squads filled with ambitious, smart, and motivated professionals. You will promote data-driven approach and advocate for the implementation of data science into various business activities.

Practical Examples

• Work on the development of our CDD ML model, including its design, creation, and implementation, in alignment with the cross-functional team (IT, Architecture, Business).
• Monitor the progress of multiple projects, identify potential roadblocks, and ensure timely delivery within deadlines.
• Support junior colleagues in adopting best practices and ensure consistency across the team.

Facts & Figures

• 36 hours per week
• 20+ other data scientist to collaborate and share knowledge
• 40+ other team members to collaborate with and learn from within the same area but with other HR lines
• 43,822 Rabobank colleagues around the world

Top 3 responsibilities

• Apply advanced analytics techniques, including the development and implementation of models, algorithms, and statistical methods, to solve complex business problems.
• Guide junior and medior team members in problem-solving, help them develop their technical skills, and foster a collaborative and innovative work environment.
• Collaborate with cross-functional teams to identify business challenges and opportunities, ensuring that solutions align with the organization’s goals and objectives.

Together we achieve more than alone
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 the Tribe FEC Tech.

The 100+ people in our Customer Due Diligence team are responsible for detecting risks in our customer portfolio using analytics models. Working together is the way we work; as 1 multi-disciplinary, highly talented and motivated team at Rabobank. Talking of Rabobank: We are a Dutch bank that operates in 38 countries for over 9,5000,000 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 and your talent

• 5+ years of experience in advanced analytics and machine learning modeling, ideally with large data sets. Proficiency in Python, PySpark, and Spark is essential. Experience with Azure Databricks is a plus.
• Academic degree (MSc / Phd) in Data Science, Econometrics, Mathematics, Engineering (or equivalent).
• Excellent verbal and communication skills in English.
• Pro-active, customer-centric and can-do mentality to make difference in fighting economic crime.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Thrive in a high-impact, dynamic and high-paced environment (experience with Agile working is a plus).

You and the job application process

• Any questions about the job content? Contact: Ivan Ivanovic, Analytics Lead CDD via[ivan.ivanovikj@rabobank.nl].
• Any questions about working at Rabobank and the process? Rose Osté, Recruiter via rose.oste@rabobank.nl.
• We will hold the interviews through a video call. We have reserved the [fill out date day/month, preferably 2 options] for the interviews. [Plan several time blocks for the interviews with your hiring manager, depending on recruitment feasibility decide whether it is appropriate to add this in the vacancy text]
• You can find answers to the most frequently asked questions on rabobank.jobs/en/faq.
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