Modelling Portfolio
The model families built, calibrated, challenged, and validated across banking, insurance, and pension work — grouped by the risk they measure rather than by the tools used to build them.
Credit risk models
IFRS 9 ECL stacks, PD calibration through-the-cycle and point-in-time, downturn LGD, EAD conversion factors, staging rules, and macro overlays.
Market and ALM models
IRRBB EVE and NII engines, behavioural models for non-maturity deposits and prepayments, VaR and expected shortfall, and liquidity stress frameworks.
Insurance and actuarial models
Chain-ladder and stochastic reserving, Solvency II standard formula and internal model components, IFRS 17 risk adjustment, and pricing models.
Catastrophe and climate models
Extreme value tail fitting, event-set based catastrophe loss modelling, physical hazard footprints, and transition pathway overlays.
Machine-learning risk models
Gradient boosting and penalised regression for pricing and early-warning signals, with interpretability, stability, and fairness testing built in.
Validation and monitoring frameworks
Independent validation methodologies, backtesting suites, monitoring dashboards, and finding-remediation tracking across the model lifecycle.