Functie
Data Scientist — Rabobank Utrecht
Are you a data-driven professional who enjoys translating complex data into actionable insights and contributing to the fight against financial crime? As a Data Scientist you will support and optimize Transaction Monitoring by delivering analytics, dashboards and recommendations that increase detection effectiveness and operational efficiency.
What you will do
Lead end-to-end analytical projects: business intake, requirements, coding, analysis, visualization and presentation of results.
Design, build and maintain impactful Power BI dashboards to support Transaction Monitoring optimization and decision-making.
Develop scalable, 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 to stakeholders, helping formulate the right questions and uncover opportunities through data.
Drive continuous improvements and proactively identify areas where analytics create measurable business value.
Collaborate closely with data professionals, business experts and 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 behaviour to identify patterns and answer business-critical questions.
Quantify the expected impact of model and rule adjustments on operational efficiency and detection effectiveness.
Required qualifications
Education: Master’s degree in a quantitative or technical field.
Experience: Minimum 3 years relevant experience as a Data Scientist, Data Analyst, or similar role.
Power BI: Advanced dashboard development, data visualization and storytelling with data.
Python: Strong programming skills, including OOP, software engineering best practices, coding standards, code reviews and writing maintainable, scalable code.
Proven ability to independently lead initiatives and drive results.
Strong communication skills and 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 and ownership.
Excellent verbal and written communication skills in English (mandatory).
Preferred profile
Experience in Financial Economic Crime (FEC), AML, Transaction Monitoring, Risk or Compliance environments.
Ability to balance technical depth with business impact.
Comfortable operating in a dynamic, fast-paced environment and motivated by delivering measurable improvements.
Location & working arrangements
Employment: 1 FTE
Locations: Winthontlaan 1, Utrecht (temporary) and Croeselaan 18, Utrecht (after rebuild).
Working language: English (mandatory).
Working model: Hybrid — office days Monday and Thursday (at the temporary location).
Duration: 1 year (extension possible).
Availability: Candidate should be available throughout the entire duration of the assignment.
Eligibility: You must be located in the Netherlands and have the legal right to work in the Netherlands; candidates requiring relocation from another country cannot be considered.
Application materials: Please provide your CV and a personal motivation in English.
Eisen
- Language: English mandatory
- Experience: 3+ years relevant experience
- 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
- Excellent verbal and written communication skills in English
- To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands
- Mid-lance constructions are not allowed according to Rabobank policy
- Candidate should be submitted exclusively to Magnit – Rabobank during the exclusivity period of 4 business days on one request
- Furthermore, the candidate has to be available throughout the entire duration of the assignment
- All submitted candidates must be in possession of a valid Passport or ID card, which must be taken along to the interview and at the start of the assignment
- Pre-employment screening is mandatory and the candidate is only allowed to start after the pre-employment screening has been completed successfully
Gunningscriteria
- Language: English mandatory
- Experience: 3+ years relevant experience
- Preferred Profil: Experience working in Financial Economic Crime (FEC), AML, Transaction Monitoring, Risk, or Compliance environment
- Preferred Profil: Ability to balance technical depth with business impact
- Preferred Profil: Comfortable operating in a dynamic, fast-paced environment
- Master's degree in a quantitative or technical field
- 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
Extra informatie
Je sollicitatie dient uiterlijk 7 september 2026 om 13:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.
