Overview
As Medior Data Scientist Transaction Monitoring at Rabobank, you apply analytics to detect criminal behavior in transactions of 8+ million customers. You will help optimize the rule-based TM system and, in the future, introduce advanced analytics like machine learning to improve detection. You work with cross-functional teams to refine models and ensure analysts focus on high-value alerts. This role sits at the intersection of data science and financial crime prevention, offering meaningful societal impact. A strong development budget, hybrid work, and growth opportunities support your impact and growth.
Arbeidsvoorwaarden / Benefits
- Thirteenth-month salary
- 8% holiday allowance
- 10% Employee Benefit Budget
- EUR 1,400 development budget per year
- Hybrid working
- Pension with flexible personal contribution
Verantwoordelijkheden
- Develop and enhance detection rules with data analysis, model setup, and reliable, well-structured code
- Identify challenges related to model choices and contribute to feasible solutions
- Collaborate with juniors, IT specialists, analysts, and other colleagues to ensure best practices across the team
Belangrijkste vereisten
- Master in Data Science or related field
- 3-5 years of experience in data science or data analysis with large datasets
- Strong programming skills in Python and PySpark; Azure Databricks experience a plus
- Experience deploying analytical models into production
- Strong communication skills and proficiency in English
- Communicative and able to present complex topics clearly
- Structured and precise working style
- Collaborative and cross-functional teamwork
- Python
- PySpark
- Azure Databricks
Medior Data Scientist Transaction Monitoring in Utrecht werkgever: Jobrapido
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