The SouthState story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward, and this position is key to performing independent model risk oversight activities
Requirements
- Strong analytical skills and ability to understand and interpret complex model information
- Ability to explain and teach complex models and quantitative information completely and accurately
- Advanced knowledge of a statistical programming package such as Python or R
- Strong knowledge of SR11-7, models and tools, and other regulatory requirements
- Familiarity with AI/ ML concepts and the challenges of oversight
- Ability to challenge model frameworks through benchmark/challenger model development using advanced modeling techniques
- Knowledge of statistical modeling theories preferred
Responsibilities
- Conduct independent model risk assessments, with a focus on AI/ GenAI/ ML models and tools
- Review and create documentation and testing provided by model owners/ developers, assessing compliance with SR 11-7 and internal MRM policies and procedures
- Partner with stakeholders to enhance model documentation quality, transparency, and completeness, especially for AI/ ML models and tools
- Support and lead project work related to MRM, AI / Gen-AI, data lineage, intake processes, and model inventory management
- Review and assess ongoing monitoring and testing performed by first line model owners
- Contribute to model validations and testing as needed
- Help design and refine governance processes for AI models and non-model tools, including write-ups for key areas such as explainability, bias/ fairness, and ethical use
Other
- EDUCATION: Advanced degree in quantitative discipline such as Economics, Quantitative Finance, Statistics, or related quantitative discipline
- EXPERIENCE: 3 to 5 years of Banking Finance or Model Risk Management experience
- Commitment to meeting deadlines and achieving assigned goals
- Excellent written communication skills, with the ability to summarize technical issues clearly for risk committees and regulators
- Strong organizational and project management skills, ability to manage multiple priorities
