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    AI-Native Risk Modelling

    AI-Native Risk Modelling, Valuation & Stress Testing for Financial Institutions

    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.

    Basel III / CRR / CRDSolvency IIIFRS 9 · IFRS 17ICAAP · ILAAP · ORSANGFS Climate
    QUANTICA · RISK ENGINE

    Banking · capital & ALM

    CET1 ratio (adverse scenario)11.4%
    IRRBB ΔNII (+200bps)-4.8%
    IFRS 9 Stage 2 migration+2.1%

    Insurance · solvency

    SCR (standard formula)€ 1.24B
    Solvency II ratio168%

    Climate · scenario overlay

    Physical loss (NGFS hot-house)€ 312M

    CET1 trajectory, 5-year adverse scenario · Solvency II ratio projection · NGFS hot-house physical loss path

    Measurement glossary

    9 of 9 terms
    CET1 trajectory, 5-year adverse scenario
    Common Equity Tier 1 capital divided by risk-weighted assets, projected over five years under the supervisory adverse macro scenario.
    CET1 ratio (adverse scenario)
    Common Equity Tier 1 capital as a percentage of risk-weighted assets at the trough of the adverse scenario, after deductions and transitional adjustments (Basel III / CRR).
    IRRBB ΔNII (+200bps)
    Change in projected 12-month net interest income under an instantaneous parallel +200 basis point rate shock, relative to the base case, using behavioural repricing of non-maturity deposits (EBA IRRBB guidelines).
    IFRS 9 Stage 2 migration
    Net increase in the share of gross carrying amount transferred from Stage 1 to Stage 2 over the reporting period, triggered by a significant increase in credit risk since initial recognition (IFRS 9).
    Solvency II ratio projection
    Eligible own funds divided by the Solvency Capital Requirement, projected across the business-planning horizon.
    SCR (standard formula)
    Solvency Capital Requirement: the 99.5% one-year Value-at-Risk of basic own funds, aggregated across risk modules with the prescribed correlation matrices and adjusted for loss-absorbing capacity (Solvency II standard formula).
    Solvency II ratio
    Eligible own funds, after tiering limits, expressed as a percentage of the Solvency Capital Requirement. Values above 100% indicate capital in excess of the regulatory requirement.
    NGFS hot-house physical loss path
    Cumulative modelled physical damage to the exposed portfolio along the NGFS hot-house world pathway, discounted to present value.
    Physical loss (NGFS hot-house)
    Present value of expected asset damage and business interruption from acute and chronic hazards, derived from location-level hazard intensity and peril-specific damage functions under the NGFS hot-house world scenario.

    Illustrative dashboard · each measure shown under its own regime

    Expertise

    Six domains of institutional risk modelling

    Coverage spans banking, insurance, capital, valuation, climate risk and AI-driven model validation.

    Actuarial & Insurance Risk

    Pricing, reserving, capital, IFRS 17, Solvency II.

    Banking & Basel Risk

    CRR/CRD, ICAAP/ILAAP, IRRBB, credit, market, liquidity.

    Climate & NatCat Risk

    NGFS scenarios, physical hazards, transition pathways.

    AI & Model Validation

    Explainability, benchmarking, backtesting, governance.

    Cross-Asset Valuation

    Rates, credit, equity, property, FX, scenario valuation.

    Regulatory Capital

    SCR, RWA, stress and scenario aggregation.

    Featured Platform

    Quantica Risk Modelling

    An AI-native cross-asset risk, valuation, capital, climate, compliance and stress-testing platform.

    • Explainable AI for banking, insurance, climate risk and regulatory modelling
    • Cross-asset valuation and stress testing
    • Solvency II, Basel III/CRR/CRD, ICAAP/ILAAP, ORSA, IFRS 9/IFRS 17 use cases
    • Climate physical and transition risk modelling using public and institutional data sources
    • Model governance, validation, benchmarking, backtesting and documentation
    Open Quantica project page
    M01
    Banking
    M02
    Insurance
    M03
    Climate
    M04
    Valuation
    M05
    Capital
    M06
    Governance
    Modular · Explainable · GovernedQUANTICA
    Modelling Portfolio

    Institutional-grade modelling domains

    Each domain includes objectives, methods, data sources, calibration, validation and regulatory relevance.

    See all domains
    Projects

    Selected projects & platforms

    A hub of ongoing work across risk platforms, climate, insurance, AI automation, media and energy transition.

    See all projects
    Risk Platform

    Quantica Risk Modelling

    Active

    AI-native cross-asset risk, valuation, capital, climate and regulatory stress-testing platform for banks and insurers.

    PythonReactPostgreSQLLLMs
    Link coming soon View Quantica Risk Modelling details
    Climate

    ClimateShield / Climate Risk Pipeline

    In development

    Climate physical and transition risk modelling with NGFS scenarios, hazard data ingestion, calibration and validation.

    PythonxarrayNGFSGIS
    Link coming soon View ClimateShield / Climate Risk Pipeline details
    Insurance

    Marine Insurance Platform

    Prototype

    Underwriting, policy administration, pricing and reserving workflows for marine insurance portfolios.

    TypeScriptReactActuarial models
    Link coming soon View Marine Insurance Platform details
    AI Automation

    RAG Job Agent

    Active

    AI job-matching and application assistant using CV parsing and retrieval-augmented generation.

    LangChainVector DBOpenAI
    Link coming soon View RAG Job Agent details
    Media

    Kidonia / Kids Songs Nursery

    Active

    Creative AI media project and YouTube growth experiment for children's music and animation.

    Generative AIVideoAudio
    Link coming soon View Kidonia / Kids Songs Nursery details
    Energy Transition

    ARIXO / Energy Transition Modelling

    Advisory

    Financial modelling, valuation, M&A, capital raising and ESG/offtake analysis for renewable energy and infrastructure.

    ExcelPythonDCFLCOE
    Link coming soon View ARIXO / Energy Transition Modelling details
    Articles & Research

    Notes on modelling, AI and risk

    Selected research and applied notes on modelling techniques, AI-native risk platforms and regulation.

    All articles
    AI
    Regulation
    Banking
    Insurance

    How AI-Native Risk Platforms Can Improve ICAAP, ORSA and Stress Testing

    Explores how explainable AI, live calibration and integrated scenario engines close the gap between regulatory expectations and legacy static models.

    Draft · 9 min readRead
    Modelling
    AI

    From Fixed Assumptions to Calibrated Risk Engines

    Why moving from hardcoded assumption sets to data-driven, versioned calibration pipelines strengthens governance and model performance.

    Draft · 7 min readRead
    Climate
    Modelling

    Climate Physical Risk: Data Sources, Calibration and Validation by Hazard

    A pragmatic walk-through of hazard-specific data pipelines for flood, wind and heat, including calibration choices and validation metrics.

    Draft · 11 min readRead
    Work with Jonas

    For partnerships, modelling reviews, advisory roles, institutional risk projects or technical collaboration.