Model Risk Manager - Compliance and Fraud, Vice President

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Job Summary:

Utilizing Models for decision making introduces Model Risk. Americas Model Risk Management's strategic vision is to actively identify, monitor and report on MUFG Americas Model risk in a transparent and timely manner. Serving as a model validation lead for analytics models in use across the Americas with a focus on Compliance and Fraud areas. The candidates will contribute to highly visible enterprise-wide model validation and control function in the organization. Americas Model Risk Management touches models across all lines of businesses in the Americas and the candidate will have opportunities to work in validation of all areas of the bank.

Major responsibilities:

• Independent testing and documenting validation results, including analyzing and interpreting statistical data, assessments of model conceptual soundness, evaluation of data and assumptions, testing model computational accuracy, and performing outcomes analysis
• Managing the resolution of findings, recommending management action plans, and tracking remediation progress
• Assisting in the development, maintenance and implementation of the Bank 's Model Risk Management Program utilizing statistical methods
• Consulting with model users on the design of effective model operational controls

Qualifications:

• 5-7 years of experience in the banking industry in a risk management capacity related to transaction monitoring and modeling in the Compliance (OFAC, BSA/AML) or Fraud spaces
• Proficiency in SAS, Python, and R is preferred
• Academic or industry experience with exposure to the use of Artificial Intelligence (AI) and Machine Learning (ML) are preferred
• Priority setting, problem solving, negotiating, and conflict management skills are preferred
• Must be a self-starter and have the ability to work independently
• Experience working with offshore partners preferred
• Good interpersonal communication skills preferred
• Bachelor 's degree in Economics, Finance, Business (MBA), Financial Engineering, Mathematics, Statistics or a related field (or foreign equivalent degree). Advanced degree preferred

The typical base pay range for this role is between $146k - $185k depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements o