SeniorManager,FraudDetection&Optimization

**_Job Description_** **What 's the opportunity?** You will lead a team of Data Scientists and Fraud Analysts in applying advanced methodologies to develop effective and balanced fraud detection and client treatment strategies across products and channels. You will work with Fraud Data Science & Analytics (DSA), Fraud Strategy, Operations and IT teams, to optimize and balance performance across the fraud pillars - fraud loss, operating cost, client experience and risk framework. You will improve our ability to leverage technologies and data streams to enhance real-time decisioning capabilities. You will ensure effective fraud prevention and detection rules across several decision engines, and appropriate resourcing across product squads. **What will you do?** * Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program through a best-in-class suite of fraud rules and predictive models * Develop and implement standards, routines and monitoring to improve overall efficiency and effectiveness of the team, * Explore new analytic solutions, technologies and methodologies to enhance the bank’s position as a global leader in the fraud industry * Collaborate effectively with partners in Fraud IT on the continuous improvement of the fraud decisioning ecosystem * Maintain a strong/collaborative relationship with Fraud Strategy and Operations in product squads, focused on highlighting emerging fraud risks and developing cross-discipline approaches to mitigate fraud * Ensure all functions (applications and procedures) within the team are carried out in a risk conscious manner, and key audit controls and information security controls are consistently satisfied * As an expert in data and fraud detection, support Fraud Management's strategic priorities and various analytic exercises and data extractions **What you need to succeed** **Must have:** * 5+ years of experience in data science, machine learning, data mining or s