Lead and execute model risk management activities and projects in alignment with the Enterprise MRM framework, regulatory guidance, and industry best practices.
Develop and enhance methodologies, tools, and approaches for identifying, assessing, and managing model risk across interest rate, liquidity, credit, and market risk models.
Evaluate model conceptual soundness, key assumptions, data integrity, and overall design to ensure models are fit for purpose.
Perform independent testing of models, including numerical, statistical, and computational accuracy, outcomes analysis, and review of governance and control processes.
Proactively identify gaps, weaknesses, or emerging concerns in existing processes, policies, procedures, and frameworks, and support timely remediation.
Monitor model-related activities to minimize the Company’s exposure to model risk through quantitative analysis, risk identification, and remediation efforts.
Communicate complex risk modeling topics, findings, and recommendations to senior management to improve decision-making, efficiency, and risk reduction.
Support regulatory compliance and the Company’s reputation by ensuring adherence to legal, regulatory, and internal standards related to model risk management.

Bachelor’s Degree in Mathematics, Physics, Statistics, or a related quantitative field, or equivalent work experience – Required.
Master’s Degree in Mathematics, Physics, Statistics, or a related quantitative field – Preferred.
7+ years of experience in model risk management covering Interest Rate Risk, Liquidity Risk, Credit Risk, and/or Market Risk – Required.
Hands-on experience assessing and validating term structure models, prepayment models, credit loss models, Market Risk Rule models, and ALM frameworks – Required.
Demonstrated experience with stress testing methodologies and practices – Required.
Strong understanding of front-to-back risk management processes, including risk identification, assessment, mitigation, governance, monitoring, testing, and capital calculation – Required.
Working knowledge of the banking regulatory environment and its impact on risk management practices – Required.
Proven ability to lead complex, cross-functional projects related to quantitative risk modeling – Required.
Experience supporting regulatory examinations, audits, or model risk remediation initiatives.
Exposure to emerging risk trends and evolving regulatory expectations within financial services.

Model Validation Associate – Liquidity and Market Risk

Key skills