Models, assurance and implementation that connect.
Start with one analytical question or connect data, model development, independent challenge, automation and documentation into one controlled process.
Risk modelling
Development and recalibration for measurable risk questions.
ICAAP and capital modelling
Build and document quantitative capital assessment methods across credit, market and operational risk, with scenario and stress testing support.
Credit risk modelling
Develop, recalibrate and document transparent credit risk parameter models for decision-making, provisioning and capital assessment.
IFRS 17 analytics
Support quantitative assessment and structured vendor benchmarking for IFRS 17 analytical tools, within verified experience boundaries.
IFRS 9 and ECL analytics
Design, review and automate Expected Credit Loss analytics from risk parameters and forward-looking scenarios through controlled calculation outputs.
Model assurance
Independent challenge, backtesting and evidence for review.
Data and implementation
Reproducible pipelines, controlled reporting and practical advice.
Quantitative advisory
Focused technical advice for model design, methodology review, analytical prototyping, tool selection and team capability transfer.
Risk data automation
Replace fragile manual risk calculations with controlled, versioned and maintainable analytical pipelines.
Regulatory analytics and reporting
Build repeatable calculation and reporting processes with data lineage, reconciliation, controls and audit traceability.
One requirement can cross several capabilities.
An IFRS 9 engagement may combine data validation, PD and LGD modelling, Expected Credit Loss calculation, model validation, reporting automation and documentation. Scope should follow the process and governance question, not an artificial service boundary.
Tell me what needs to run reliably.
A short brief is enough to establish whether this is a fit. Describe the situation in general terms only. Do not send client data or model files.