Start: asap
End: 01-04-2027
Possible extension: YES
Hours per week: 36
As a Medior Data Scientist Transaction Monitoring you can have social impact by detecting criminal behavior using analytics models to analyze Rabobank transactions of 8+ million customers.
Job description
In order to be effective in fighting financial crime, we need smart individuals like yourself who get their energy from looking into data, patterns and behavior of our customers in order to uncover illegal activities. Together with the team you will be responsible for optimizing our current rule-based Transaction Monitoring (TM) system and eventually (not on short term) for introducing more advanced analytics methodologies such as Machine Learning into our TM models. This job requires statistical know-how, an analytical mindset and pragmatic operational expertise. And if done successfully, you will make sure that our analysts are able to focus on the true positive alerts - hence spend their time on truly value-adding activities. In other words, in this role you will be on the front line of fighting financial crime. Practical examples:
Developing and improving detection rules within multidisciplinary teams to uncover patterns linked to illegal activities.
Identifying new relevant data sources and evaluating how to integrate them into our models.
Working with business experts, model owners, and IT to implement and continuously refine models.
Top 3 responsibilities:
Develop and enhance (parts of) our detection rules, including data analysis, model setup, and writing reliable, well-structured code.
Identify challenges related to model choices and actively contribute to suitable solutions.
Collaborate with colleagues-including juniors, mediors, IT specialists, and analysts-to ensure consistent best practices across the team.
Requirements
Hard requirements:
A Masters degree in Data Science, Econometrics, Mathematics, or a related field.
3-5 years of experience in data science or data analysis, preferably with large datasets.
Strong programming skills in Python and PySpark (Azure Databricks experience is a plus.)
Experience in implementing and maintaining analytical models into production is preferred.
Strong communication skills, with the ability to present complex topics in a clear and accessible way to business stakeholders to enable swift decisionmaking.
Excellent verbal and written English skills.
Strong preferences:
You are intrinsically motivated to fight financial crime by building models that create real impact.
You work in a structured and precise manner and communicate clearly.
You collaborate effectively with colleagues across different roles and take initiative to improve outcomes.
You thrive in a dynamic, high-impact environment.
Experience with Agile working is a plus.
Read full vacancy
What happens next?
1
Application
After you apply, we will review your CV and compare it with other applications. If you are suitable, we will call you to discuss your experience, availability, and rate. If you are not suitable or less suitable than other applicants, we will politely decline your application.
2
Propose to customer
After checking suitability, availability and rate, we will recommend you to the client and you will usually receive a response from the client within 5 working days as to whether they are interested and would like to arrange an interview.
3
Interview
After the interview, the client may wish to conduct a second or, in some cases, a third interview. If the client decides to hire you, the start date and onboarding process will be determined.
4
Start / Onboarding
In order to get started, an onboarding procedure is initiated in which formalities are completed. This includes submitting personal details, passport and, if necessary, Chamber of Commerce registration in order to draw up a contract. In some cases, screening by an external agency commissioned by the client may be required. Once this has been completed, the assignment can begin!
