Model Validation Officer

Job Summary

Perform independent validation activities on highly complex models enterprise-wide, including Machine Learning and other Artificial Intelligence approaches, that support Synovus’ key strategic objectives. Comply with regulatory guidance and the Synovus Model Risk Management policy while providing effective challenge and verification that models are performing as expected in line with their design objectives and business uses.

• Work closely with model owners, developers, and users to independently perform comprehensive validations of high-impact models in compliance with regulatory guidance and Synovus policies and procedures. The scope of validation may include a review and effective challenge of underlying assumptions, theory, empirical evidence, implementation, limitations, and results and context of reports of the model being validated.
• Validate models and analytical tools in areas such as fraud monitoring, cybersecurity, credit scoring, marketing, BSA/AML/OFAC and Consumer Compliance, market risk, operational risk, strategic risk, finance and accounting, loan pricing, deposit pricing, loan valuation, and capital adequacy to include stress testing (not all inclusive).
• Document and present observations to model owners, developers, and users; recommend management action plans and track remediation progress. Present results to Executive or Senior Management, as appropriate.
• Conduct ongoing monitoring such as confirming that models are appropriately implemented, used, and performing as intended; perform outcome analysis (such as back‑testing and benchmarking).
• Provide oversight and execution to the model risk management policies and procedures for the organization.
• Consult with model owners, developers, and users on model development including the design of effective model operational controls.
• Understand how model validation efforts support quantitative and qualitative reporting activities for data‑driven business decisions, as well as regulatory and risk compliance.
• Review the maintenance of existing models and enhancements implemented over time to mitigate negative feedback from regulators.
• Remain current on modeling trends, techniques, tools and best practices. Identify emerging trends in technology as opportunities for future growth and development. Mentor less experienced team members in validation, the development and design of predictive models, and analyzing data as requested.
• Participate in activities and maintain documentation related to developing innovations that enhance model validation and governance processes.
• Serve as subject‑matter‑expert resource by providing training/guidance to less experienced team members.
• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.
• Perform other related duties as required.

Synovus is an Equal Opportunity Employer committed to fostering an inclusive work environment.

Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, or Economics, or an equivalent combination of education and experience.

• 7–10 years of related work experience, or a relevant Master’s degree with five years of related work experience (three if in financial services), or a Ph.D. in a relevant quantitative discipline with three years of related work experience in financial services.

• Specialized training and work experience with a very strong background in statistical analysis and data modeling, including multivariate analysis, logistic regression, non‑linear modeling, machine learning and other artificial intelligence approaches, and similar techniques.
• Knowledgeable of model risk management and associated regulatory requirements and guidance.
• Strong proficiency in programming tools SAS/R/Phython, and Microsoft Excel.
• High degree of knowledge of database management…