Description
We are seeking a highly experienced Data Scientist to join our Anti Financial Crime (AFC) function at Deutsche Bank. 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.
Responsibilities:
- 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-dive 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
Requirements:
- 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, NumPy, 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
Benefits:
- 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