Senior Model Validation Analyst

We are partnering with a well‑capitalised, multi‑state regional financial institution known for its strong governance culture, disciplined risk management framework, and consistent growth strategy. The organisation combines the stability of an established banking group with the agility of a forward‑thinking leadership team, placing high importance on regulatory excellence and model risk oversight.

This is a senior opportunity within the Model Risk Management function, offering visibility across credit, market, liquidity, capital planning, and forecasting models.

Key Responsibilities

• Lead independent validation of financial and non‑financial risk models
• Assess model methodology, assumptions, data inputs, limitations, and outputs
• Evaluate conceptual soundness and ongoing model performance
• Review and challenge third‑party model validations
• Support annual model risk assessments and prioritisation exercises
• Maintain and update model inventory and validation schedules
• Track remediation findings and ensure timely resolution
• Prepare detailed validation reports for senior management and governance committees
• Monitor models post‑validation and recommend recalibration or redevelopment where required
• Provide mentorship and technical guidance to junior analysts
• Contribute to continuous improvement of model validation standards and processes
• Ensure alignment with regulatory guidance including SR 11-7 and OCC

Required Experience & Skills

• Advanced degree in Statistics, Mathematics, Econometrics, Economics, or related quantitative discipline
• 5–10 years of experience in model risk management, quantitative analytics, or financial risk modelling
• Strong understanding of credit risk and market risk modelling frameworks
• Hands‑on programming experience in Python (preferred) or R
• Experience operating within a regulated banking environment
• Ability to communicate complex quantitative findings to non‑technical stakeholders
• Strong documentation and report‑writing capability

Preferred

• Experience leading validation projects or supervising junior team members
• Exposure to machine learning or advanced statistical techniques
• Prior interaction with regulators or involvement in regulatory exams

This role offers strong exposure to senior stakeholders, meaningful ownership of validation work, and the opportunity to shape best practice within a mature risk governance framework.

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