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Job description
Deutsche Bank seeks an experienced Data Science Lead to transform transaction, account, and customer data for transaction monitoring systems. The role involves implementing risk models, supporting global system implementation, and driving analytical strategies within the Anti-Financial Crime (AFC) function.
The primary responsibility involves transforming complex financial data into relevant formats for risk models using tools like Python and BigQuery. This includes step-by-step implementation of risk models, transaction analysis, and effective change management processes. The role is critical in supporting the global implementation of the Actimize transaction monitoring system and ensuring efficient rollout management.
Candidates must have a degree in mathematics, economics, business informatics, or a related field. Essential requirements include extensive experience in Anti-Financial Crime areas, particularly transaction monitoring systems, strong programming skills in Python and BigQuery, and excellent English communication abilities. Management experience is considered advantageous, highlighting the strategic nature of this role.
Deutsche Bank offers a comprehensive benefits package including emotional and mental health support, physical wellness programs, flexible working arrangements, social networking opportunities, and financial security through pension plans and employee banking services. The bank emphasizes a culture of diversity, equity, and inclusion, providing an environment for professional growth and meaningful contribution to fighting financial crime.
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