Global Financial Crimes, Risk Analytics & Model Governance - AVP

Join Mitsubishi UFJ Financial Group (MUFG)

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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

Reporting to the Head of GFCD Model Governance Team, this position has been created for the purpose of establishing GFCD Global Model Governance capabilities for MUFG.

The AVP will support the end-to-end governance of GFCD Global Financial Crime and Compliance (FCC) models/systems. This role is responsible for ensuring models used for AML, sanctions, KYC and broader financial crime risk management are developed, implemented, governed, and maintained in accordance with internal policy and regulatory expectations.

This position plays a key role in supporting to oversee model lifecycle activities, assessing model risk, ensuring documentation and controls are robust, and partnering with model owners, validation, compliance, technology, audit, and senior management to maintain a strong global model governance framework.

Major Responsibilities

• In connection with the Global Financial Crimes program

• Support the governance and lifecycle management of models/system in scope (e.g., AML TM, sanctions screening, customer risk rating models). Collaborate with regional model owners and model users to embed a Model Governance lens across all models/systems.

• Ensure compliance with enterprise and local/regional Model Risk Management (MRM) policies, including model inventory governance, tiering, annual reviews, and periodic recertifications.

• Conduct independent assessments of model design, intended use, limitations, assumptions, and ongoing performance.

• Update and maintain high-quality model documentation, ensuring completeness, clarity, and adherence to internal standards.

• Monitor model issues, findings, and remediation plans to ensure timely closure and sustainable controls.

• Partner with Tuning & Optimization teams to ensure proposed model testing and tuning are methodologically sound and well-supported.

• Support regulatory exams, internal audits, and remediation projects related to model governance, documentation, and model risk management.

Qualifications

Experience/Skills

• 35 years of experience in Model Governance, Model Risk Management (MRM), Model Validation, or quantitative roles within AML/BSA, financial crime and compliance.

• Strong understanding of model lifecycle activities (development, implementation, validation, ongoing monitoring, change management, and retirement).

• Knowledge of mathematics and statistics, skilled in interpreting and evaluating statistical analysis, including classification accuracy, sampling methodologies, error metrics, and model performance indicators.

• Ability to code using R/Python/SQL for data analytics is a strong plus.

• Ability to use Tableau or other data visualization tools.

• Experience preparing or reviewing high-quality model documentation (methodology documents, monitoring templates, validation packages, model change documentation, etc.).

Education

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, or other quantitative discipline required.
• Master's degree or higher is preferred.

The typical base pay range for this role is $90,000 to $110,000 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.

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. The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any. 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 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 on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.