Quantitative Analytics Manager

To support the Bank Model Risk Management team, the remote full-time Quantitative Analytics Manager will conduct independent model validations, develop 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
• Develop automated monitoring suites in Python to track key risk indicators and model performance in real-time
• Partner with model developers to drive 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 pandas and scikit-learn, for modeling and backtesting
• Mastery of SQL for managing large-scale datasets and conducting data lineage audits
• Strong problem-solving skills and ability to communicate complex technical ideas effectively