Senior Specialist Advanced Analytics Americas DTO

Role Overview: You are being hired as a Sr Specialist Advanced Analytics Americas DTO at Mitsubishi UFJ Financial Group, Inc. (MUFG) to be a part of the Global Financial Crimes Division (GFCD) Operations function. Your main responsibility will be to lead the Operations Intelligence & Analytics capabilities, focusing on enhancing the effectiveness, efficiency, and risk mitigation capabilities of the Transaction Monitoring DTO program specifically for the American region. Key Responsibilities: - Provide strategic direction and day-to-day leadership to a team of analysts and specialists. - Oversee threshold tuning, rules optimization, and filter platform enhancements to improve Transaction Monitoring analytics and CRR performance. - Guide the creation and execution of test cases and scripts for system changes and releases. - Supervise the development of tailored business rules to reduce false positives and improve operational efficiency. - Lead periodic assessments of screening algorithms and rules to identify and mitigate AML risks. - Ensure the production of meaningful reports and dashboards for senior management using tools like Power BI and Tableau. - Direct the design and execution of ATL/BTL sampling and statistical testing to validate model effectiveness. - Coordinate with Americas teams to implement and maintain a globally consistent model. - Collaborate across GFCD functions to ensure clearly defined roles, responsibilities, and seamless operations. - Support the development and implementation of policies and procedures governing the sanctions screening lifecycle. - Expertise in TM Model Design and Tuning/ optimization, including rule tuning, threshold calibration, and effectiveness testing. - Strong quantitative background with applied experience in statistics, data analysis, and model validation. - Proficient in SQL and Python for data extraction, transformation, and analysis. - Hands-on experience with financial crime detection platforms such as Actimize, SAS or other Fincrime detection platforms. - Solid understanding of regulatory expectations (FinCEN, FATF, FRB, OCC, SEC). - Experience leading model governance activities, including documentation, validation, and performance monitoring. - Skilled in developing and testing analytical methods for emerging financial crime risks. - Strong leadership and project management capabilities in regulated environments. - Effective communicator with experience presenting technical findings to senior leadership and regulators. - Proficient in data visualization tools (e.g., Power BI) for compliance reporting and insights. Qualification Required: - Bachelors degree required, advanced degree in Statistics, Data Science, or related field preferred. - 15+ years in BSA/AML model design, testing, tuning, or validation.,