Actuarial Forecasting Lead
Required Experience, Skills, and Knowledge Hold an active professional actuarial credential (ACAS, FCAS, ASA, FSA, or recognized international actuarial equivalent). A CERA designation alone does not replace the base actuarial credential. Demonstrated hands-on professional experience developing or materially validating insurance claims-frequency, exposure-based, or comparable insurance predictive-risk models. Demonstrated hands-on experience valuing or pricing physically delivered forward, offtake, volume-flex, commodity, or asset supply contracts with meaningful delivery obligations or embedded optionality; theoretical coursework alone is insufficient. 8+ years of relevant experience spanning actuarial modeling, enterprise or asset risk, physical-market contract economics, and quantitative decision support. Bachelor's degree in actuarial science, statistics, mathematics, quantitative finance, economics, engineering, or a closely related discipline. Advanced stochastic simulation, financial risk modeling, calibration, sensitivity analysis, tail-risk measurement, and evaluation of correlated exposure. Strong hands-on Python and SQL proficiency; ability to design models, independently inspect model code, and explain methods and commercial implications. Demonstrated ability to work with incomplete market data, communicate uncertainty, and navigate cross-functional decisions with strong ethical judgment. Preferred Experience, Skills, and Knowledge CERA or advanced enterprise-risk/financial-risk credential in addition to a base actuarial credential. Experience in mobile devices, electronics resale, inventory financing, physical commodities, or another market with steep depreciation and limited liquidity. Experience with risk-adjusted optimization, supply chain planning, repair operations, or secondary-market pricing. Familiarity with inventory valuation accounting and derivative accounting review processes, while recognizing Finance and Accounting as decision owners. Experience implementing governed enterprise quantitative models and collaborating with commercial supply or procurement teams.