Home Loans Loss Forecasting Analytics, Senior Data Scientist

SoFi Technologies

Frisco, TX, United States
Base pyy range listed below; final offer based on ...
On-site
5+ years data science experience
Python and sql proficiency
Credit risk modeling expertise
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 closely with Credit Decision Science, Finance, and Collections 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 within an industry-leading leadership team.

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
  • Credit risk modeling expertise
  • CECL and loss forecasting models
  • Mortgage portfolio analytics
  • Delinquency and recovery modeling

Nice-to-have

  • Tableau or Power BI dashboarding
  • Survival analysis and time-series
  • Strong executive communication skills
  • Experience with HPI and economic stress testing
  • Audit-ready documentation practices

Key Requirements

  • Master's or PhD in quantitative field
  • 5+ years in credit risk analytics
  • Hands-on mortgage data experience
  • Statistical modeling proficiency

Work Rights

Not specified

Tailored Resume

Cover Letter