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Payment Behavioural Models Strat

Job at Deutsche Bank in Greater London, EC2Y

Job Review: Vice President, Payment Behavioural Models Strategy

This opportunity within Deutsche Bank's Group Strategic Analytics (GSA) team, part of the Group Chief Operation Office (COO), presents a compelling role for a seasoned professional looking to make a significant impact in financial crime prevention. The position focuses on leading regional model strategy and deployment for Transaction Monitoring (TM), a critical function within the bank. Candidates will have the chance to leverage advanced analytics to develop leading-edge models that detect and prevent illicit financial activities.

Key Advantages for Candidates:

  • Strategic Impact: You will be at the forefront of developing and deploying innovative transaction monitoring models, directly contributing to the bank's efficiency, control, and transformation goals. This role offers the chance to shape how the bank combats criminal risks.
  • Advanced Analytics & Technology: This position requires and fosters the use of cutting-edge quantitative analytics, including Machine Learning and Artificial Intelligence. You'll work with modern technologies and environments like Python, Spark, and cloud platforms.
  • Career Development & Wellbeing: Deutsche Bank emphasizes a strong commitment to employee development and wellbeing. This is reflected in their offerings of hybrid working, a competitive salary with a non-contributory pension, generous holiday allowance, and a comprehensive benefits package.
  • Collaborative Environment: You will work within a dynamic GSA team and liaise with crucial departments like Compliance and Model Risk Management, fostering cross-functional collaboration and a holistic understanding of the bank's operations.
  • Financial Crime Expertise: This role offers a deep dive into the complexities of financial crime prevention, particularly in Anti-Money Laundering (AML) transaction monitoring, providing invaluable experience in a highly sought-after field.
  • Diversity & Inclusion: Deutsche Bank is committed to fostering a diverse and inclusive workplace, evidenced by their recognition in gender equality and LGBTQ+ inclusion awards. They actively support a culture where everyone can excel.

Key Considerations for Candidates:

  • Quantitative Background: A Master's or PhD degree in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics, or Statistics) or equivalent work experience is essential. Strong analytical and problem-solving skills are paramount.
  • Financial Services/Financial Crime Experience: Prior experience developing models within a financial services or financial crime setting is a significant advantage. Familiarity with transaction monitoring and AML typologies will be highly beneficial.
  • Technical Proficiency: Hands-on experience in designing, implementing, and deploying quantitative models using Python, Spark, and cloud environments in a large financial institution is crucial.
  • Model Governance & Audit: The role involves ensuring models adhere to strict governance standards, are interpretable, explainable, and auditable. Candidates should be comfortable with regulatory examinations and internal audits.
  • Data Acumen: A strong ability to understand and articulate data requirements, including comprehensiveness, quality, accuracy, and integrity, as they relate to transaction monitoring is vital.
  • Product Knowledge: While not explicitly stated as mandatory, a good understanding of the Bank's products and services across corporate, investment, private banking, and asset management will provide valuable context for model development.

This Vice President role offers a unique opportunity to lead strategic initiatives in a critical area of financial services. For candidates with a strong quantitative background, a passion for financial crime prevention, and a desire to work in a supportive and forward-thinking environment, this position represents an excellent step in their career trajectory.

ID 1201712 Sectors:
in London, Greater London, England, EC2Y

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