Opdrachten

Rabobank Data Scientist

Data Scientist

Info

Functie

Data Scientist

Locatie

Utrecht

Uren per week

36 uren per week

Looptijd

12.10.2026 - 30.09.2027

Opdrachtnummer

391716

Sluitingsdatum

date-icon02.10.2026 clock-icon15:00
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Rolomschrijving en taakafspraken

Vacancy: Data Scientist

Temporary location until at least 31th of January 2027: Winthontlaan 1, Utrecht
Location after rebuilt: Croeselaan 18, Utrecht
Working language: English
Hybrid working - Office days: Monday and Thursday (Temporary location Winthontlaan 1 Utrecht until January 31th 2027)
Experience: 3+ years relevant experience
Duration: 1 year (extension of assignment is possible)

Data Scientist

Are you a data-driven professional who enjoys translating complex data into actionable insights? Do you want to contribute directly to combating financial crime and improving the effectiveness of Transaction Monitoring within one of the largest financial institutions in the Netherlands? Then this opportunity at Rabobank could be the perfect next step in your career.



As a Data Scientist, you will play a critical role in supporting and optimizing Rabobank's Transaction Monitoring capabilities. Through advanced analytics, dashboard development, and stakeholder collaboration, you will help colleagues make data-driven decisions that increase the effectiveness of detecting potential money laundering and terrorist financing activities.



Your Impact

Preventing financial crime is one of Rabobank's strategic priorities. By leveraging data from millions of customer transactions, you will identify patterns, uncover opportunities for improvement, and provide insights that help operational teams focus on genuine risks and high-value investigations.

Your work will directly contribute to creating a safer financial system while enabling more efficient and effective Transaction Monitoring processes.



What You Will Do

Perform end-to-end analytical projects, from business intake and requirements gathering to coding, analysis, visualization, and presentation of results.

Design, build, and maintain impactful Power BI dashboards that support Transaction Monitoring optimization and decision-making.

Develop scalable and maintainable analytical solutions using Python.

Estimate and assess the impact of proposed changes to Transaction Monitoring rules and parameters

Translate complex business questions into analytical approaches and actionable recommendations.

Act as a trusted partner for stakeholders, helping them formulate the right questions and uncover opportunities through data

Drive continuous improvements and proactively identify areas where analytics can create measurable business value

Collaborate closely with data professionals, business experts, and other stakeholders across multidisciplinary teams.



Examples of Assignments

Develop a Transaction Monitoring rule tuning dashboard to support optimization of monitoring parameters

Build management dashboards that provide deeper insight into the effectiveness of the Transaction Monitoring system.

Analyze customer transaction behavior to identify patterns and answer business-critical questions

Quantify the expected impact of model and rule adjustments on operational efficiency and detection effectiveness


Required Qualification

Master's degree in a quantitative or technical field

Minimum 3 years of relevant experience as a Data Scientist, Data Analyst, or similar analytical role

Strong Power BI expertise, including advanced dashboard development, data visualization, and storytelling with data

Solid Python programming skills, including:

Object-Oriented Programming (OOP)

Software engineering best practice

Coding standards and code reviews

Writing maintainable and scalable code

Proven ability to independently lead initiatives and drive results.

Strong communication skills with the ability to translate business needs into analytical solutions

Structured, proactive, and highly organized working style

Strong stakeholder management and collaboration skills.

Business-focused mindset with a strong sense of ownership.

Excellent verbal and written communication skills in English.


Preferred Profil

Experience working in Financial Economic Crime (FEC), AML, Transaction Monitoring, Risk, or Compliance environment

Ability to balance technical depth with business impact.

Comfortable operating in a dynamic, fast-paced environment

Motivated by delivering measurable improvements rather than building analytics solutions for their own sake.


About the Team

You will become part of a highly skilled and motivated multidisciplinary team within FEC Tech, where more than 80 professionals work on Transaction Monitoring solutions that help detect money laundering and terrorist financing risks. Collaboration, innovation, and impact are central to how we work.

At Rabobank, we believe that diversity of thought and background strengthens our organization. By combining expertise, curiosity, and teamwork, we create smarter solutions that help protect the integrity of the financial system



Interested in making a real societal impact with data? Join Rabobank as a Data Scientist and help us stay one step ahead in the fight against financial crime.

Bedrijfsgegevens

Bedrijfs gegevens

Rabobank

Rolomschrijving en taakafspraken

Vacancy: Data Scientist

Temporary location until at least 31th of January 2027: Winthontlaan 1, Utrecht
Location after rebuilt: Croeselaan 18, Utrecht
Working language: English
Hybrid working - Office days: Monday and Thursday (Temporary location Winthontlaan 1 Utrecht until January 31th 2027)
Experience: 3+ years relevant experience
Duration: 1 year (extension of assignment is possible)

Data Scientist

Are you a data-driven professional who enjoys translating complex data into actionable insights? Do you want to contribute directly to combating financial crime and improving the effectiveness of Transaction Monitoring within one of the largest financial institutions in the Netherlands? Then this opportunity at Rabobank could be the perfect next step in your career.



As a Data Scientist, you will play a critical role in supporting and optimizing Rabobank's Transaction Monitoring capabilities. Through advanced analytics, dashboard development, and stakeholder collaboration, you will help colleagues make data-driven decisions that increase the effectiveness of detecting potential money laundering and terrorist financing activities.



Your Impact

Preventing financial crime is one of Rabobank's strategic priorities. By leveraging data from millions of customer transactions, you will identify patterns, uncover opportunities for improvement, and provide insights that help operational teams focus on genuine risks and high-value investigations.

Your work will directly contribute to creating a safer financial system while enabling more efficient and effective Transaction Monitoring processes.



What You Will Do

Perform end-to-end analytical projects, from business intake and requirements gathering to coding, analysis, visualization, and presentation of results.

Design, build, and maintain impactful Power BI dashboards that support Transaction Monitoring optimization and decision-making.

Develop scalable and maintainable analytical solutions using Python.

Estimate and assess the impact of proposed changes to Transaction Monitoring rules and parameters

Translate complex business questions into analytical approaches and actionable recommendations.

Act as a trusted partner for stakeholders, helping them formulate the right questions and uncover opportunities through data

Drive continuous improvements and proactively identify areas where analytics can create measurable business value

Collaborate closely with data professionals, business experts, and other stakeholders across multidisciplinary teams.



Examples of Assignments

Develop a Transaction Monitoring rule tuning dashboard to support optimization of monitoring parameters

Build management dashboards that provide deeper insight into the effectiveness of the Transaction Monitoring system.

Analyze customer transaction behavior to identify patterns and answer business-critical questions

Quantify the expected impact of model and rule adjustments on operational efficiency and detection effectiveness


Required Qualification

Master's degree in a quantitative or technical field

Minimum 3 years of relevant experience as a Data Scientist, Data Analyst, or similar analytical role

Strong Power BI expertise, including advanced dashboard development, data visualization, and storytelling with data

Solid Python programming skills, including:

Object-Oriented Programming (OOP)

Software engineering best practice

Coding standards and code reviews

Writing maintainable and scalable code

Proven ability to independently lead initiatives and drive results.

Strong communication skills with the ability to translate business needs into analytical solutions

Structured, proactive, and highly organized working style

Strong stakeholder management and collaboration skills.

Business-focused mindset with a strong sense of ownership.

Excellent verbal and written communication skills in English.


Preferred Profil

Experience working in Financial Economic Crime (FEC), AML, Transaction Monitoring, Risk, or Compliance environment

Ability to balance technical depth with business impact.

Comfortable operating in a dynamic, fast-paced environment

Motivated by delivering measurable improvements rather than building analytics solutions for their own sake.


About the Team

You will become part of a highly skilled and motivated multidisciplinary team within FEC Tech, where more than 80 professionals work on Transaction Monitoring solutions that help detect money laundering and terrorist financing risks. Collaboration, innovation, and impact are central to how we work.

At Rabobank, we believe that diversity of thought and background strengthens our organization. By combining expertise, curiosity, and teamwork, we create smarter solutions that help protect the integrity of the financial system



Interested in making a real societal impact with data? Join Rabobank as a Data Scientist and help us stay one step ahead in the fight against financial crime.

De recruiter

Mandy Hoogland

HeadFirst

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