Staff Data Scientist

SoFi

San Francisco, CA, United States
On-site
Ml model design and implementation
Mortgage risk frameworks
Credit risk and valuation
Lead the evolution of SoFi’s Home Loan and Home Equity risk frameworks by applying state-of-the-art ML methodologies

Job Summary

  • Lead the evolution of SoFi’s Home Loan and Home Equity risk frameworks by applying state-of-the-art ML methodologies.
  • Design and implement ML models for mortgage-specific use cases, ensuring rigorous internal standards for quality, performance, and scalability.
  • Present model performance and portfolio insights to senior leadership, translating complex data into actionable credit and business strategies.

Matching Summary

Lead the evolution of SoFi’s Home Loan and Home Equity risk frameworks by applying state-of-the-art ML methodologies.

Skills & Requirements

Must-have

  • ML model design and implementation
  • Mortgage risk frameworks
  • Credit risk and valuation
  • Default and prepayment modeling
  • Automated appraisal reviews
  • Production ML environments
  • Python and SQL programming

Nice-to-have

  • Technical model documentation
  • Model Risk Management lifecycle
  • Cross-functional collaboration

Key Requirements

  • Master's degree in quantitative field
  • 5+ years of experience in Home Loans/Home Equity ML
  • Expert knowledge of statistical modeling and ML methods
  • Hands-on experience with AWS SageMaker, Git, Docker, CI/CD

Work Rights

Not specified

Tailored Resume

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