Senior Quantitative Model Solutions Specialist

Wells Fargo

Not specified (assumed to be hybrid or remote based on industry standards).
4+ years quantitative solutions engineering experience
Advanced python sas sql programming skills
Credit risk analytics and modeling expertise
Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist for its Unsecured / Small Business Retail team, focusing on model maintenance, optimization, and credit risk analytics. The ideal candidate should have over four years of relevant experience, advanced programming skills, and strong project management abilities

Job Summary

  • This role involves leading moderately complex model maintenance and optimization initiatives for the Unsecured / Small Business Retail team at Wells Fargo.
  • Candidates will be responsible for validating model efficiency, analyzing data sets, and ensuring compliance with regulatory requirements like CECL and Basel.
  • The position requires strong collaboration with peers and managers to resolve issues while leveraging a solid understanding of policies and compliance standards.

Matching Summary

Match Score: 85

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist for its Unsecured / Small Business Retail team, focusing on model maintenance, optimization, and credit risk analytics. The ideal candidate should have over four years of relevant experience, advanced programming skills, and strong project management abilities.

Skills & Requirements

Must-have

  • 4+ years quantitative solutions engineering experience
  • Advanced Python SAS SQL programming skills
  • Credit risk analytics and modeling expertise
  • Experience with regulatory models CCAR CECL IFRS9
  • Bachelor's degree in quantitative fields

Nice-to-have

  • Strong project management and prioritization skills
  • Experience with Tableau or PowerBI dashboarding
  • Knowledge of SR 15-18 and SR 11-7 guidelines
  • Ability to lead high performing advanced teams
  • Understanding of Retail business verticals

Key Requirements

  • 4+ years quantitative model operations experience
  • Bachelor's or Masters/PhD in quantitative fields
  • Advanced programming in Python SAS SQL
  • Regulatory model experience (CCAR CECL IFRS9)
  • Retail credit risk analytics background

Work Rights

Not specified

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