Medior Data Scientist Transaction Monitoring

• Detect suspicious financial behavior through data analysis and analytics models.
  
• Improve existing rule -based Transaction Monitoring (TM) systems.
  
• Support the future introduction of advanced methodologies such as Machine Learning.
  
• Enable analysts to focus on true positive alerts and value -adding investigations.
  
• Contribute directly to fighting financial crime.
  

• Detection Rule Development
  
• Data & Model Enhancement
  
• Cross -Functional Collaboration
  

• Develop and enhance detection rules through data analysis, model setup, and coding.
  
• Identify model -related challenges and contribute to effective solutions.
  
• Collaborate with multidisciplinary teams to maintain strong analytical and development standards.
  

Requirements

• A Master’s 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 decision‑making.
  
• Undefined Excellent verbal and written English skills.
  
• A motivation letter demonstrating the required competencies is requested.
  
  

• 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.