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.