Quantitative Analytics Lead

Job Summary

To enhance the Model Risk Management framework, the full-time remote Quantitative Analytics Lead will perform independent challenges of machine learning models, identify weaknesses, and collaborate with cross-functional teams to ensure effective model validation and compliance.

Key responsibilities

• Perform independent challenges and validations of machine learning models for credit underwriting and fraud detection
• Identify model weaknesses and collaborate with model owners to remediate validation findings
• Partner with Internal Audit and Compliance to address audit and regulatory requests in a timely manner

Required qualifications

• 4-6 years of experience in model development, validation, or data science
• Deep knowledge of machine learning modeling and credit risk management
• Proficiency in scripting languages (e.g., Python) and large-scale datasets (e.g., SQL)
• Experience with machine learning platforms (e.g., scikit-learn, pyspark) and cloud-based environments
• BS, MS, or PhD in a quantitative field such as Math, Data Science, or Computer Science