Model Risk Governance Manager
SoFi
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The role:
SoFi’s Model Risk Governance Manager is an important oversight position within SoFi’s growing Independent Risk Management organization. This strategic role will be instrumental in implementing SoFi’s member trust-oriented strategy by building a best-in-class risk management team.
This role will work closely with the Director of Model Risk Governance, and support our model risk governance framework. This role will develop and maintain model risk management policies, procedures, issue management, and reporting related to all models used across the organization. The ideal candidate will possess a deep understanding of model risk governance and regulatory requirements, with the ability to collaborate across functions to enhance model risk management practices.
What you’ll do:
- Policy and Procedure Development: Draft, maintain, and update model risk policies and procedures to reflect changes in regulatory requirements, industry standards, and organizational needs.
- Model Inventory Management: Manage a comprehensive inventory of models across the organization including conducting an annual model attestation process and ensuring documentation is up-to-date and accessible.
- Model Risk Reporting: Prepare model risk reports highlighting key risks, issues, and compliance with risk appetite.
- Finding and Issue Management: Track, and report model-related findings and issues, ensuring alignment with enterprise issue management standards..
- Stakeholder Collaboration: Work closely with model risk validators and business owners to communicate model risk governance practices.
What you’ll need:
- 8+ years of progressive experience in model risk management, governance, or related roles in the financial services industry..
- Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field required. Master’s or Ph.D. degree preferred.
- Strong knowledge of regulatory requirements (e.g., SR 11-7) and industry best practices in model risk management.
- Experience with statistical and quantitative modeling approaches. Excellent analytical, problem solving, and decision making skills.
- Strong presentation skills: comfortable with public speaking across various forums.