Leadership Role: International Banking Fraud Analytics Strategist Job Description: - Drive the development and execution of comprehensive fraud mitigation strategies for International Banking (IB) operations, ensuring compliance with regulatory requirements and organizational policies. As a key team member, you will lead and oversee IB Fraud Analytics and Strategies, overseeing business strategy execution, plans, and initiatives. You will be responsible for leveraging complex data analytics techniques, data mining, and machine intelligence to implement and enhance fraud mitigation capabilities. Key Responsibilities include: 1. Leading a customer-focused culture throughout the team to deepen client relationships and leverage broader bank relationships, systems, and knowledge. 2. Developing innovative fraud Proof-of-Concepts and providing support on ongoing assessment of the fraud threat landscape and anticipation of risks, improving our strategies and capabilities. 3. Providing guidance and training to local teams on analytics best practices for fraud strategy improvement. 4. Assessing existing analytics functions/tools and investigating new opportunities to develop new and enhance existing fraud detection capabilities using Artificial Intelligence (e.g., Machine Learning) and advanced statistical methodologies/modelling. 5. Offering subject expertise and thought leadership on key business initiatives dependent on machine learning/cognitive computing technology. 6. Exploring various machine learning, statistical analytics, and data mining techniques to improve fraud strategy prediction capability. 7. Contributing to fraud risk mitigation by leveraging machine learning and business expertise to advise senior leadership. 8. Maintaining effective dialogue with internal technology and business partners on development, delivery, risk, and trends. 9. Utilizing potentially siloed, irregular, unstructured, and external data and data warehouses to enable a consolidated view of information and drive behavior and predictive analytics. 10. Supporting the creation and management of the analytics strategic roadmap, including the introduction of machine learning, statistical modelling, and other capabilities delivering meaningful data analysis and scoring. 11. Staying up-to-date with emerging issues, trends, and evolving regulatory requirements, assessing potential impact on the bank. 12. Supporting the design and implementation of the overall fraud management strategic roadmap and future initiatives. 13. Managing fraud model governance and model performance monitoring. 14. Understanding how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions. A strong background in data-driven decision making, machine learning, and advanced statistics is required to succeed in this role. The ideal candidate will have experience working with large datasets and developing predictive models. The selected candidate will have excellent communication skills and be able to effectively collaborate with cross-functional teams to drive business outcomes. A passion for staying up-to-date with emerging technologies and trends in the field is also essential.