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We are looking for an experienced financial and actuarial specialist to support complex forecasting and funding analysis for public benefit programs in Richmond, Virginia. This Long-term Contract position will focus on evaluating program sustainability, developing multi-year financial outlooks, and advising stakeholders on the impact of policy and funding decisions. The role offers significant visibility and requires someone who can turn technical analysis into practical recommendations for government leaders and oversight groups.
Job Responsibility
Create and refine multi-year financial models that project the performance of public benefit programs over a 5- to 10-year horizon
Analyze a range of funding and policy scenarios, including shifts in claims activity, benefit design changes, and employer contribution assumptions
Assess trust fund strength by reviewing reserve adequacy, solvency targets, and potential depletion timelines under varying conditions
Develop recommendations to help maintain or restore fund health through sustainable funding strategies and policy options
Evaluate the financial effect of proposed legislative or program changes using actuarial and risk-based analysis
Present findings and methodologies to commissions, boards, committees, and other decision-makers in a clear and actionable manner
Partner with program leadership, finance teams, and policy stakeholders to align analytical work with operational and strategic objectives
Perform ad hoc financial and variance analysis to support high-priority business questions and emerging program needs
Requirements
5+ years of experience in financial analysis, actuarial analysis, or a related quantitative role, with strong exposure to long-range modeling
Demonstrated ability to build and manage complex financial models, including assumption setting, scenario testing, and model validation
Experience analyzing risk, solvency, reserve levels, or similar indicators within insurance, public benefit, or trust-based programs
Advanced proficiency in Excel and working knowledge of at least one analytical programming language such as R or Python
Strong understanding of model risk management principles and the ability to explain methodologies to non-technical audiences
Proven ability to communicate effectively with senior stakeholders and lead discussions in stakeholder meetings or advisory settings
Background supporting government, regulated programs, or policy-driven financial environments is highly preferred
Experience related to unemployment insurance, paid leave, disability, pension, or similar benefit programs is a plus