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Jobs · Analyst · Texas

Global Financial Crimes, Risk Analytics & Model Governance - AVP

MUFG · Irving, TX · 2 mo ago
On-siteAnalyst$90k–$110k/yrFull-time

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.

Major Responsibilities

  • 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: 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.
  • 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.

Pay

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.

Benefits

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 of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA).

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.

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