Job Description
Deutsche Bank (DB) benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping DBs business operations and global financial services clean from financial crime while serving the interests of the bank and society.In order to combat financial crime effectively and respond to challenges in a flexible manner, AFC has a matrix structure combining regional, business line and global functional coverage in our core areas of Anti-Money Laundering , Sanctions & Embargoes , Anti-Fraud, Bribery & Corruption , Investigations & Intelligence , Monitoring & Screening, and Risk Assessment . Part of our commitment is to strengthen a strong collaboration with all business lines and support functions within our bank.
Responsibilities + Skills
Education
Experience in machine learning operations (ML Ops), model engineering and creating UX design for MI and reporting purpose
Experience
Strong Analytics skills including data modeling, data engineering, advanced SQL knowledge, Python or Go and use of analytics platforms such as Cloudera Data Science Workbench (CDSW) or similar. GitHub, Kaggle or similar profiles welcome. Familiar with Linux and Unix shell scripting. Tableau for visualization also welcome
