What you will be doing: • Lead independent model validations for actuarial, finance, investment, and data science models • Validate that models are fit for purpose and functioning as expected based on their design, input data, methodology, and output • Provide effective challenge on model rationale, reliability, stability, robustness, and limitations • Identify model issues, confirm their resolution, and document validation findings for both technical and non-technical audiences • Collaborate with model owners, developers, and business leaders to deliver independent, value-added model risk management • Assess the enterprise's inherent and residual exposure to model risk based on its business processes, and risk management strategies • Contribute thought leadership and insights on modeling, model risk management, model controls, and model governance • Improve the efficiency and efficacy of existing model risk management processes • Share industry knowledge, best practices, and notable validation findings with the Model Risk Team. What you bring: • Bachelor's Degree in a quantitative discipline • Fellow of Society of Actuaries (FSA) preferred or Associate of the Society of Actuaries (ASA) • 5-7+ years of relevant experience within the Life, Annuity, or LTC insurance industries • 3+ years of experience developing actuarial models • Proficiency in SQL and programming languages such as Python, R, or SAS • Knowledge of actuarial valuation, projections, experience study, and pricing models • Familiarity with predictive analytics, statistical techniques, and AI/machine learning models • Experience with using AI tools to improve processes and boost productivity • Ability to document models, processes, and validation findings for both technical and non-technical audiences • Ability to work independently, take ownership of projects, and self-study unfamiliar topics as needed.