Primary responsibilities include conducting transaction data analysis, developing money laundering scenarios, leading projects related to new systems and tools, managing data flow from core banking systems to transaction monitoring, implementing IT controls, creating risk analyses, generating reports using PowerBI, and continuously improving risk management processes.
The ideal candidate possesses an IT or business administration degree with a data analysis focus, initial experience in money laundering prevention, strong SQL skills, proficiency in data analysis tools like PowerBI or Python, and demonstrates analytical thinking, quick comprehension, and investigative capabilities.
Santander offers a competitive package including a secure workplace in an international growth-oriented company, comprehensive onboarding, flexible working hours, mobile work options, extensive annual leave, performance-based bonuses, corporate benefits, health subsidies, and opportunities for professional development in a supportive team environment.
