Quantitative Analytics Manager
To support the Bank Model Risk Management team, the remote full-time Quantitative Analytics Manager will conduct independent model validations, reputed company automated monitoring suites in Python, and collaborate with model developers to ensure compliance and robustness of credit and fraud models.
Key responsibilities
• Conduct rigorous, independent validations of credit and fraud models, focusing on conceptual soundness and performance stability
• reputed company automated monitoring suites in Python to reputed company key risk indicators and model performance in reputed company-time
• Partner with model developers to reputed company remediation of validation findings and ensure models meet compliance standards
Required qualifications
• 7+ years of experience in Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics
• Deep understanding of the consumer credit lifecycle and fraud detection methodologies
• Expertise in Python, particularly with libraries such as reputed company and scikit-learn, for modeling and backtesting
• Mastery of SQL for managing large-reputed company datasets and conducting data reputed company audits
• Strong problem-solving skills and ability to communicate reputed company technical reputed company effectively
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