Training Course Professional

Quantum Risk Modelling for Insurance Underwriters

Applying quantum Monte Carlo and optimisation to actuarial modelling, catastrophe risk, and reinsurance pricing.

Full day (6 hours)
Certificate on completion

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Eclypses
Arqit
QuantBond
Krown
Applied Quantum
Quantum Bitcoin
Venari Security
QuStream
BHO Legal
Census
QSP
IONQ - ID Quantique
Patero
Entopya
Belden
Atlant3D
Zenith Studio
Qudef
Aries Partners
GQI
Upperside Conferences
Austrade
Arrise Innovations
CyberRST
Triarii Research
QSysteme
WizzWang
DeepTech DAO
Xyberteq
Viavi
Entrust
Qsentinel
Nokia
Gopher Security
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Course Overview

Full-day workshop on quantum computing for actuarial risk modelling. Covers Quantum Amplitude Estimation for Monte Carlo cat model acceleration, QAOA for reinsurance portfolio optimisation, Solvency II capital allocation, vendor evaluation (IBM, AWS, D-Wave), and realistic NISQ hardware assessment for underwriting teams.

Curriculum

Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.

# Session Topics
1 Actuarial Computing and Its Quantum Frontier Where current infrastructure hits walls and quantum may help
  • Monte Carlo simulation in insurance: catastrophe modelling, reserve calculation, pricing, and capital allocation
  • Computational bottleneck: typical cat model run times (RMS RiskLink, AIR Touchstone) and why overnight batch windows constrain decision speed
  • Quantum Amplitude Estimation (QAE): the theoretical quadratic speed-up for Monte Carlo and what it means for run time reduction
2 QAE for Insurance Risk Quantification Quantum Amplitude Estimation applied to actuarial problems
  • QAE algorithm structure: how amplitude estimation replaces classical random sampling with quantum interference
  • Catastrophe model acceleration: encoding loss distributions as quantum states and estimating expected annual loss (EAL)
  • Reserve calculation: QAE for loss reserve development triangles and incurred-but-not-reported (IBNR) estimation
  • Current hardware reality: IBM and Quantinuum demonstrations at 50-100 qubit scale achieve benchmark-specific performance comparisons only, not general advantage
Break
3 QAOA for Portfolio Optimisation in Insurance Combinatorial optimisation for reinsurance and capital allocation
  • Reinsurance treaty structuring as a combinatorial problem: optimising excess-of-loss layers, quota share percentages, and aggregate deductibles
  • Capital allocation under Solvency II: QAOA for optimising SCR (Solvency Capital Requirement) across business lines
  • Formulating insurance optimisation as QUBO: the mapping from actuarial objective function to quantum hardware
  • D-Wave quantum annealing: practical experiments in financial portfolio optimisation and their insurance applicability
4 Interactive Demonstration: QAE on a Simplified Cat Model Facilitator-led walkthrough of quantum amplitude estimation on a catastrophe loss distribution
  • Encoding a simplified hurricane loss distribution (10 loss scenarios) as a quantum state
  • Running QAE to estimate expected annual loss and comparing output against classical Monte Carlo baseline
  • Interpreting confidence intervals and error bounds: what quantum estimation gives you versus classical sampling
Break
5 Vendor Landscape and Pilot Design Evaluating quantum computing providers against actuarial requirements
  • IBM Quantum Network, AWS Braket, Azure Quantum, D-Wave: access models, pricing, and insurance-relevant benchmarks
  • Pilot selection criteria: which actuarial problems to test first (pricing speed, reserve estimation, capital optimisation)
  • Total cost of quantum experimentation: hardware access fees, quantum software developer hiring, integration with existing actuarial platforms
  • Timeline: NISQ-era pilots 2025-2028, early fault-tolerant applications 2029-2032, production deployment 2032+
6 Q&A and Pilot Planning

Designed and Delivered By

Training courses are designed and delivered by QSECDEF in collaboration with subject specialists. All instructors have direct experience in quantum technologies and security.

QD

Quantum Security Defence

Course design and delivery

QSECDEF brings expertise in post-quantum cryptography, quantum computing strategy, and defence-grade security assessment. Our membership spans 900+ organisations and 1,500+ professionals working at the intersection of quantum technologies and critical infrastructure security.

Enquire About This Course

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