Key Responsibilities:
Comprehensive Model Validation:
- Validate model inputs, frameworks, code, and outcomes across risk and forecasting models (e.g., ALM, PPNR, Treasury, CCAR/CECL) ensuring accuracy and alignment with business and regulatory standards.
Risk Identification & Mitigation:
- Provide effective challenge and identify model risks with recommendations for remediation and performance improvement.
Documentation & Reporting:
- Draft high-quality validation reports, clearly articulating findings, limitations, and recommendations for both technical and non-technical stakeholders.
Audit & Regulatory Support:
- Support audits, regulatory reviews, and exams by preparing validation artifacts, responding to queries, and defending validation outcomes.
Governance & Collaboration:
- Maintain model governance documentation, support ongoing performance monitoring, and engage with model developers, MRM, audit, and regulators throughout the model lifecycle.
Process & Framework Enhancement:
- Contribute to improving validation methodologies and frameworks, incorporating emerging best practices and regulatory guidance.
Skills & Qualifications:
- Strong grasp of regulatory guidance (SR 11-7, OCC 2011-12) and model risk management.
- Hands-on experience with Python, R, SAS, SQL; strong analytical and problem-solving skills.
- Proficiency in statistical methods (logistic/linear regression, survival analysis, ARIMA) and familiarity with machine learning techniques (e.g., XGBoost, BERT).
- 7+ years in model validation/development within financial services.
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