Home Loans Loss Forecasting Analytics, Senior Data Scientist

SoFi

Frisco, TX, United States
Base pyy range listed below; final offer based on ...
On-site
5+ years data science experience
Python and sql proficiency
Cecl and loss forecasting models
This role focuses on building quantitative and machine learning models to forecast losses across mortgage and home equity portfolios including first liens and HELOCs

Job Summary

  • This role focuses on building quantitative and machine learning models to forecast losses across mortgage and home equity portfolios including first liens and HELOCs.
  • The Senior Data Scientist will partner with Credit Decision Science, Finance, and Capital Markets to support data-driven decision-making across the full residential lending lifecycle.
  • SoFi offers a forward-thinking environment transforming financial services with opportunities to invest in your career and impact millions of members.

Matching Summary

This role focuses on building quantitative and machine learning models to forecast losses across mortgage and home equity portfolios including first liens and HELOCs.

Salary

Base pay range listed below; Final offer based on experience, skills, and location; Comprehensive benefits available

Skills & Requirements

Must-have

  • 5+ years data science experience
  • Python and SQL proficiency
  • CECL and loss forecasting models
  • Mortgage and secured lending data
  • Delinquency and default modeling
  • Roll-rate and recovery analysis

Nice-to-have

  • Tableau or Power BI dashboarding
  • Survival analysis and time-series
  • Gradient boosting and random forests
  • Executive communication skills
  • Audit-ready documentation experience

Key Requirements

  • Master's or PhD in quantitative field
  • 5+ years in credit risk analytics
  • Hands-on mortgage product experience
  • Experience with model governance and audit

Work Rights

Not specified

Tailored Resume

Cover Letter