Quantica Risk Modelling
AI-native cross-asset risk, valuation, capital, climate and regulatory stress-testing platform for banks and insurers.
Jonas Osman Abdelghafour — actuary and financial risk manager — builds institutional-grade modelling frameworks across banking, insurance, climate risk, capital, ALM, liquidity, valuation, and regulatory stress testing.
Banking · capital & ALM
Insurance · solvency
Climate · scenario overlay
CET1 trajectory, 5-year adverse scenario · Solvency II ratio projection · NGFS hot-house physical loss path
Measurement glossary
9 of 9 termsIllustrative dashboard · each measure shown under its own regime
Coverage spans banking, insurance, capital, valuation, climate risk and AI-driven model validation.
Pricing, reserving, capital, IFRS 17, Solvency II.
CRR/CRD, ICAAP/ILAAP, IRRBB, credit, market, liquidity.
NGFS scenarios, physical hazards, transition pathways.
Explainability, benchmarking, backtesting, governance.
Rates, credit, equity, property, FX, scenario valuation.
SCR, RWA, stress and scenario aggregation.
An AI-native cross-asset risk, valuation, capital, climate, compliance and stress-testing platform.
Each domain includes objectives, methods, data sources, calibration, validation and regulatory relevance.
Quantify interest rate risk in the banking book, delta NII and EVE, plus liquidity and balance-sheet projections.
Compute economic capital and Solvency II SCR, aggregate risks and stress the balance sheet.
Assess physical and transition risk across sectors, geographies and hazards.
Value rates, credit, equity, property and FX exposures consistently across scenarios.
Estimate PD, LGD, EAD and staging with macro overlays for IFRS 9 ECL.
Underwriting, pricing and reserving across insurance portfolios including marine lines.
A hub of ongoing work across risk platforms, climate, insurance, AI automation, media and energy transition.
AI-native cross-asset risk, valuation, capital, climate and regulatory stress-testing platform for banks and insurers.
Climate physical and transition risk modelling with NGFS scenarios, hazard data ingestion, calibration and validation.
Underwriting, policy administration, pricing and reserving workflows for marine insurance portfolios.
AI job-matching and application assistant using CV parsing and retrieval-augmented generation.
Creative AI media project and YouTube growth experiment for children's music and animation.
Financial modelling, valuation, M&A, capital raising and ESG/offtake analysis for renewable energy and infrastructure.
Selected research and applied notes on modelling techniques, AI-native risk platforms and regulation.
Explores how explainable AI, live calibration and integrated scenario engines close the gap between regulatory expectations and legacy static models.
Why moving from hardcoded assumption sets to data-driven, versioned calibration pipelines strengthens governance and model performance.
A pragmatic walk-through of hazard-specific data pipelines for flood, wind and heat, including calibration choices and validation metrics.