
Quantitative Analytics Lead
Posted Jul 18

Posted Jul 18
This is a fully remote position, open to applicants in Canada.
• Conduct independent assessments of machine learning models utilized for credit underwriting, credit risk, and/or fraud detection through comprehensive validation and continuous monitoring.
• Recognize model vulnerabilities and areas for enhancement.
• Collaborate with model proprietors to address findings from model validation.
• Work cross-functionally to establish and uphold the organization’s Model Risk Management (MRM) framework.
• Collaborate with Internal Audit, Internal Controls, and Compliance to guarantee prompt resolution of audit and regulatory inquiries.
• 4-6 years of professional experience in relevant technical fields such as model development, model validation, and data science.
• Extensive knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and risk management.
• Demonstrated proficiency in using scripting languages (e.g., Python) and managing large-scale datasets (e.g., SQL).
• Significant experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) as well as cloud-based coding environments and databases.
• Bachelor’s, Master’s, or PhD in a quantitative discipline such as Mathematics, Data Science, or Computer Science.
• Detail-oriented, inquisitive about data/models/algorithms, and skilled in critical thinking and problem-solving.
• Exceptional interpersonal and verbal/written communication abilities.
• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents.
• Flexible Spending Wallets - generous stipends for expenses related to Technology, Food, various Lifestyle needs, and family formation.
• Time off - competitive vacation and holiday schedules that allow you to take time off to rest and recharge.
• ESPP - An employee stock purchase plan that allows you to purchase shares of Affirm at a discounted rate.
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