Vice President Data Scientist (AFC Modelling, Transaction Monitoring)
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- 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
- 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
- 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
- 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
- Significant experience developing and deploying machine learning, statistical, or advanced analytics solutions within financial services or other regulated industries
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative discipline; Master’s degree preferred
- Strong communication and stakeholder management skills with the ability to influence business and technical audiences at all levels
- Experience within 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 skills with the ability to translate business challenges into scalable solutions
- Ability to balance strategic thinking with hands-on execution in a fast-paced and evolving environment