Data Scientist
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Data Scientist bij Rabobank in Utrecht, hybride (ma/do op kantoor), 36u/week, duur 1 jaar (ZZP toegestaan).
- Locatie
- Utrecht
- Werkvorm
- hybride
- Uren
- 36 uur per week
- Contractvorm
- payroll
- Startdatum
- Looptijd
- 12 maanden (tot 30 september 2027)
- Sluitingsdatum
- Gepubliceerd
- Opdrachtgever
- Detecting Financial Crime omgeving
Eisen
- Excellent verbal and written communication skills in English.
- Master's degree in a quantitative or technical field
- Strong communication skills with the ability to translate business needs into analytical solutions
- Software engineering best practice
- Strong stakeholder management and collaboration skills.
- Solid Python programming skills, including:
- Coding standards and code reviews
- Proven ability to independently lead initiatives and drive results.
- Writing maintainable and scalable code
- Strong Power BI expertise, including advanced dashboard development, data visualization, and storytelling with data
- Structured, proactive, and highly organized working style
- Object- Oriented Programming (OOP)
- Minimum 3 years of relevant experience as a Data Scientist, Data Analyst, or similar analytical role
- Business-focused mindset with a strong sense of ownership.
Wensen
- Ability to balance technical depth with business impact.
- Experience working in Financial Economic Crime (FEC), AML, Transaction Monitoring, Risk, or Compliance environment
- Motivated by delivering measurable improvements rather than building analytics solutions for their own sake.
- Comfortable operating in a dynamic, fast-paced environment
Omschrijving
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
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