Model Risk Manager - Machine Learning

Position: Affirm Model Risk Manager - Machine Learning
Apply your expertise as a Model Risk Manager specialized in Machine Learning at Affirm, primarily in a remote role. Focus on enhancing model validations for credit and fraud detection, contributing to a reliable risk management framework.

Join the Model Risk Management team at Affirm, where you will engage in addressing model risks through your thorough understanding of machine learning applications. With 4-6 years of relevant experience, this role allows for collaboration across departments to ensure that key models are effective and compliant. Your contributions will directly affect credit underwriting decisions and fraud prevention strategies.

Key Responsibilities:

• Execute thorough challenges on machine learning models

• Assess weaknesses and identify areas for model enhancement

• Collaborate to rectify validation issues with model owners

• Implement the MRM framework across teams

• Partner with compliance for audit resolution

Requirements:

• 4-6 years of model validation experience

• Strong grasp of machine learning and credit risk assessment

• Proficient in Python and SQL within large datasets

• Degree in Math, Data Science, or Computer Science

• Exceptional critical thinking and communication skills

Enhance the integrity of Affirm's credit and fraud detection models while advancing your career in model risk management.