Model Risk Management Lead, Machine Learning
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Key skills for this role
About the Role
Affirm seeks a Model Risk Management Lead to join the MRM team, performing independent challenges of machine learning models for credit underwriting, risk, and fraud detection. You will collaborate cross-functionally to maintain the MRM framework and ensure model risk mitigation.
Key Skills for This Role
Responsibilities
- Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection 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
Requirements
- 4 6 years of professional experience in model development, model validation, or data science
- Deep knowledge in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection
- Proven ability to work with script languages (e.g., Python) and large scale datasets (e.g., SQL)
- Extensive experience with machine learning platforms and frameworks (e.g., scikit learn, PySpark) and cloud based coding environments
- BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
Full Job Posting
About the Team
- The Model Risk Management (MRM) 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 work cross functionally to develop a profound understanding of models that drive critical business decisions.
What You'll Do
- Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection 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
- 4 6 years of professional experience in related technical areas such as model development, model validation, data science.
- Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management.
- Proven ability to work with script languages (e.g., Python) and large scale dataset (e.g., SQL).
- Extensive experience with machine learning platforms and frameworks (e.g., scikit learn, pyspark) and cloud based coding environments and databases.
- BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science.
- Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving.
- Extraordinary interpersonal and verbal/written communication skills.
Pay and Benefits
- CAN base pay range per year: CAD 145,000 CAD 205,000.
- Employees new to Affirm typically come in at the start of the pay range.
- Benefits include health care coverage, Flexible Spending Wallets, time off, and ESPP.
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