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Optimization and Model Risk Manager, Vice President
at MUFG Americas
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world (as ranked by S&P Global, April 2018) with total assets of over $2.9 trillion (106.2 (JPY) as of March 30, 2018) and 150,000 colleagues in more than 50 countries. In the U.S., we're 13,000 strong, working together to positively impact every customer, organization, and community we serve. We achieve this by delivering on our values, putting people first, fostering long-term relationships built on honesty and mutual understanding, and inspiring the best in each other. This is all part of our inclusive, high-performing culture supported by Total Rewards that include our cash balance pension plan. Join a team that's working to fulfill its vision to be the world's most trusted financial group.
Reporting to the Director of Optimization and Model Risk Programs in Analytics and Informatics (AI), Financial Crimes Office Americas (FCOA), the Optimization and Model Risk Manager will be responsible for ongoing model risk management for FCOA's portfolio of models, including model documentation, ongoing model performance monitoring, and model validation coordination with America's Model Risk Management (AMRM). The position covers models for the Americas, including U.S., Canada, and Latin America. In addition, the position will support governance, management, and execution of the tuning and optimization program of BSA/AML/Sanctions model and non-model tools. Major Responsibilities:
- Lead and assist in the deployment and enhancement of model risk and optimization programs for the Americas, including U.S., Canada, and Latin America.
- Document and ensure models are in compliance with AMRM's Model Governance Policies on Change Management, Model Performance and Operational Controls.
- Create Model Owner documentation as required and in accordance with AMRM's guidelines
- Coordinate with AMRM on model validation engagements, including planning model validation and provisioning of request items
- Work with model users to ensure adequate testing and documentation of performance monitoring
- Lead and assist in tuning and optimization of Financial Crimes systems as applicable, including AML transaction monitoring systems, Sanctions filtering systems, and other model and non-model related tools.
- Lead and assist in the execution and ongoing compliance for Americas with Global Transaction Monitoring and Suspicious Activity Report Standard and Global Correspondent Banking Standard for AML transaction monitoring.
- Build and maintain positive relations within FCOA, AMRM, and GFCD global teams, and model users.
Bachelor's degree in quantitative fields, such as economics, mathematics, statistics, and computer science/engineering or other relevant discipline.Advanced degree preferred.
Minimum of 5 years in relevant work experience in the following areas:
Model risk management in relevant capacity, including first line model owner, second line model risk management, and third line internal audit.
Leading the development, implementation, and ongoing operations of BSA/AML/Sanctions tuning and optimization program.
Experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.). A plus related to BSA/AML and fraud in the banking industry.
Experience accessing and analyzing large volumes of data using SQL, SAS, SAS Enterprise Guide, and SAS EMiner,
Collaborative with strong interpersonal communication skills and detail-oriented and organized execution.
Preferred candidate with experience in wholesale and investment banking and complex bank products and services.
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category.
A conviction is not an absolute bar to employment. Factors such as the age of the offense, evidence of rehabilitation, seriousness of violation, and job relatedness are considered in all employment decisions. Additionally, it's the bank's policy to only inquire into a candidate's criminal history after an offer has been made. Federal law prohibits banks from employing individuals who have been convicted of, or received a pretrial diversion for, certain offenses.