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ACT 490 · Year 4 · Semester 1 · 3 credits · Integration & Practice

Capstone I: Data-Driven Pricing & Reserving

Bridge classical actuarial reserving and pricing with modern machine learning pipelines to deliver defensible, ASOP-compliant decisions on real-world industry data.

Season 1 · 8 episodes

The Solvency Threshold: Horizon Mutual's Capstone Defense

When state regulators threaten receivership over a thirty-million-dollar commercial auto deficit, a newly appointed lead actuary must construct a fully reproducible, ASOP-compliant reserving and pricing pipeline combining classical loss development with neural networks to survive the ultimate external audit panel.

Protagonist · Maya Lin, newly appointed Lead Reserving and Pricing Actuary at Horizon Mutual
Setting · Horizon Mutual's corporate headquarters in Chicago and the State Insurance Commissioner's hearing chambers
Stakes · Horizon Mutual faces mandatory regulatory supervision and liquidation if Maya cannot prove the solvency of its reserves and justify a forty percent commercial auto rate overhaul before a hostile panel of appointed chief actuaries.
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Cold open

At six fifteen on a Monday morning, Maya Lin finds an official notice from the State Department of Insurance taped to the door of Horizon Mutual's actuarial suite. Horizon's commercial auto surplus has eroded by twenty-eight million dollars over four quarters, and the regulator demands a completely audited, ASOP-compliant reserve reconstruction and rate indication within eight weeks, or Horizon will be placed into administrative receivership.

Transcript

At six fifteen on a Monday morning, Maya Lin finds an official notice from the State Department of Insurance taped to the door of Horizon Mutual's actuarial suite. Horizon's commercial auto surplus has eroded by twenty-eight million dollars over four quarters, and the regulator demands a completely audited, ASOP-compliant reserve reconstruction and rate indication within eight weeks, or Horizon will be placed into administrative receivership.

  • Define the scope of an integrated reserving and pricing capstone project under ASOP No. 41, 43, and 56
  • Formulate the mathematical boundary conditions linking unpaid claim liabilities to future premium rate indications
  • Establish a reproducible data engineering and modeling lifecycle integrating classical actuarial methods with machine learning pipelines
  • Draft an actuarial project charter with defined data validation checks, hindsight testing criteria, and model risk governance
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