Global Financial Crimes, Risk Analytics & Model Governance - AVP

MUFG • Irving, TX

16h • $90,000 - $110,000 • Hybrid

About The Position

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 150,000 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. Summary: Reporting to the Head of GFCD Model Governance Team, 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.

Requirements

• 3–5 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.
• Experience preparing or reviewing high‑quality model documentation (methodology documents, monitoring templates, validation packages, model change documentation, etc.).
• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, or other quantitative discipline required.

Nice To Haves

• Ability to code using R/Python/SQL for data analytics is a strong plus.
• Ability to use Tableau or other data visualization tools.
• Master’s degree or higher is preferred.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level