Karkidi
Model Risk Lead
Karkidi, San Francisco, California, United States, 94199
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse.What You'll Do
Perform independent challenges of machine learning models used for credit underwriting/credit risk management through thorough validation and ongoing monitoring. Identify model weaknesses and opportunities for improvement.Collaborate with model owners to remediate model validation findings.Partner cross-functionally to implement and maintain the company’s MRM framework.Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests.What We Look For
3-6 years of professional experience in related technical areas such as model development, model validation, data science.This position requires either equivalent practical experience or a Bachelor’s degree in a related field.Deep and broad knowledge of quantitative modeling in relation to credit underwriting and credit risk management.Experience with developing models using script languages (e.g., Python) and working with large-scale databases (e.g., SQL).Experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases.Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving.Extraordinary interpersonal and verbal/written communication skills.
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Perform independent challenges of machine learning models used for credit underwriting/credit risk management through thorough validation and ongoing monitoring. Identify model weaknesses and opportunities for improvement.Collaborate with model owners to remediate model validation findings.Partner cross-functionally to implement and maintain the company’s MRM framework.Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests.What We Look For
3-6 years of professional experience in related technical areas such as model development, model validation, data science.This position requires either equivalent practical experience or a Bachelor’s degree in a related field.Deep and broad knowledge of quantitative modeling in relation to credit underwriting and credit risk management.Experience with developing models using script languages (e.g., Python) and working with large-scale databases (e.g., SQL).Experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases.Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving.Extraordinary interpersonal and verbal/written communication skills.
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