Actuary, Model Risk

Actuary, Model Risk Location: Richmond, VA or Remote (US Eastern or Central Time). This position is available to Virginia residents as in‑office applicants or remote applicants residing in states under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. Responsibilities 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. Qualifications Bachelor’s Degree in a quantitative discipline. Fellow of the 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. Nice to have: Master’s Degree in a quantitative discipline, CERA designation, or model development experience with Moody’s AXIS and/or MG‑ALFA. Benefits Competitive Compensation & Total Rewards. Incentives with a target earning opportunity of 20% of base compensation. Comprehensive Healthcare Coverage. Multiple 401(k) Savings Plan Options with 100% employer‑funded contributions. Generous Paid Time Off – including 12 paid holidays, volunteer time off, and paid family leave. Disability, life, and long‑term care insurance. Tuition reimbursement, student loan repayment, and training & certification support. Wellness support including gym membership reimbursement and Employee Assistance Program resources. Caregiver and mental health support services. Equal Opportunity Employment Genworth is a proud equal opportunity employer. All hiring decisions are based on merit, qualifications, and business need. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #J-18808-Ljbffr