• Drive the roadmap for internal AI & ML initiatives, aligning with business objectives and regulatory requirements. • Serve as a subject matter expert on fraud analytics, advising leadership on emerging threats and mitigation strategies. • Architect and deploy cutting-edge machine learning and AI models to maximize fraud recovery, behavioral analysis, and predictive fraud prevention. • Optimize models for scalability, real-time performance, and minimal false positives. • Identify new data sources and develop advanced feature engineering techniques to enhance fraud detection capabilities. • Lead research into novel algorithms, including graph analytics and deep learning approaches. • Partner with Legal, Leadership, and Engineering teams to integrate solutions into enterprise systems. • Communicate complex technical concepts to non-technical stakeholders and influence decision-making. • Guide and mentor junior data scientists, fostering a culture of innovation and continuous learning. • Ensure models adhere to regulatory standards (OCC, PCI DSS) and ethical AI practices.