Global Financial Crimes, Risk Analytics & Model Governance AVP

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

For more information on our Total Rewards package, please click the link below.