MUFG: Model Risk Manager, Vice President

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

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world (as ranked by S& P Global, April 2020).Inthe Americas, we’re 13,000 colleagues, striving to make a difference for every client, organization, and community we serve.

We stand for our values, developing positive relationships built on integrity and respect.

It’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility.

We’re a team that accepts responsibility for the future by asking the tough questions and owning the solutions.

Join MUFG and be empowered to make your voice heard and your actions count.

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.

ACCOUNTABILITIES: 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 5-7 years of experience in the banking industry in a risk management capacity building or validating statistical models in the Compliance (OFAC, BSA/AML) and Fraud spaces Proficiency in SAS, Python, and R 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 Master’s degree in Economics, Financial Engineering, Mathematics, Statistics or a related field (or foreign equivalent degree) 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.