Quant Analytics Assoc - Model Risk
Core
Independent validation and review of the bank's risk models to ensure regulatory compliance and accurate risk identification.
Role type
Associate Quantitative Model Risk Analyst
Builds
Validated risk models for Fraud, Compliance (AML, OFAC), Credit (CECL), and Market/Liquidity risk
Domain
Banking / Financial Risk Management
Deliverable
production ML models | dashboards & analysis
Required skills
quantitative model validation, statistical testing, root-cause analysis, data cleaning and transformation, Python, R, SQL, SAS, back-testing, benchmarking, sensitivity analysis, stress testing
Preferred skills
AI/ML model development, conceptual soundness testing, data accuracy verification
Technologies
Python, R, SQL, SAS
Responsibilities
Perform hands-on quantitative model validation/review including testing conceptual soundness, data accuracy, methodology, and ongoing performance; Provide effective challenge to ensure model robustness and justify assumptions; Present findings and observations to model developers/owners; Prepare detailed validation reports and memos documenting approach, findings, and conclusions
Seniority
Associate, entry-level IC
