Primary responsibilities include comprehensive analysis of bank data repositories, identifying data quality incidents, exploring data repositories programmatically, assessing identified issues, prioritizing problems, collaborating on correction strategies, and performing end-to-end process optimization to ensure data integrity and coherence across different bank processes.
Requires a Master's degree in Management, Finance, Economics, Computer Engineering, Mathematics, or equivalent, with strong technical skills in data exploration and management including SQL, SAS, R, and Python. Minimum 4 years of experience in similar functions with demonstrated ability to work across complex banking data environments and technical systems.
Offers a challenging role within a global banking organization that emphasizes personal risk management, professional development, and the opportunity to make meaningful impacts through data quality improvements. Santander provides comprehensive training, a collaborative work environment, and the chance to be part of an organization that touches 140 million lives daily.
