AFC Modelling - Data Scientist; Transaction Monitoring; Vice President

Deutsche Bank benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping Deutsche Bank’s business operations and global financial services clean from financial crime while serving the interests of the Bank and society. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of:
Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. As a Vice President within AFC, you will play a key role in shaping and advancing data science and analytical capabilities across the Financial Crime organization. You will leverage advanced analytics, machine learning, and large-scale data platforms to develop innovative solutions that enhance risk detection, improve operational effectiveness, and support strategic decision‑making.

• A diverse and inclusive environment that embraces change, innovation, and collaboration
• A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
• Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
• Educational resources, matching gift and volunteer programs

• Lead the development and implementation of advanced analytics and machine learning solutions supporting Financial Crime and AFC initiatives
• Drive data science strategy by partnering with business, compliance, technology, and risk stakeholders to solve complex problems and deliver actionable insights
• Design, enhance, and monitor predictive models and analytical frameworks using large and complex datasets
• Conduct deep‑dip analyses to identify emerging risks, data quality issues, and opportunities to improve detection and operational effectiveness
• Develop reporting, dashboards, and performance metrics to measure model effectiveness and support strategic decision‑making
• Provide technical leadership, model governance support, and mentorship to junior team members while promoting analytical best practices

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative discipline;
  Master’s degree preferred
• Significant experience developing and deploying machine learning, statistical, or advanced analytics solutions within financial services or other regulated industries
• Strong programming expertise in Python and data science libraries including Pandas, Num Py, and Scikit-learn
• Advanced experience working with large‑scale datasets, SQL, data modeling, and modern analytics platforms
• Strong communication and stakeholder management skills with the ability to influence business and technical audiences at all levels
• Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

• Experience with in Financial Crime, Anti-Money Laundering (AML), Fraud, Compliance, Risk Management, or Regulatory Technology environments
• Exposure to Transaction Monitoring, customer risk analytics, sanctions screening, or other financial crime surveillance programs
• Experience with Hadoop, Hive, Spark, cloud-based analytics platforms, or other big data technologies
• Strong analytical and problem‑solving…