Data Intake & Validation
Connect to policy/claims/billing/DWH; data checks, outliers, and mapping rules.
Pricing & reserving workspace for life and non‑life: data intake & validation, experience studies, GLM/machine‑learning, cashflow projection, reserving triangles (Chain Ladder, Mack, BF), scenario & assumption management, reinsurance impact, capital metrics, and audit‑ready outputs — integrated with DWH/BI and finance.
Connect to policy/claims/billing/DWH; data checks, outliers, and mapping rules.
Mortality/morbidity/lapse/frequency‑severity with cohorts and credibility blending.
GLM/GBM/ML pipelines, exposure, rating factors, and uplift/elasticity analysis.
Life/health product cashflows, economic scenarios, discount curves, and stresses.
AY/Accident/Underwriting year triangles, Chain Ladder, Mack, Bornhuetter‑Ferguson, IBNR.
Versioned assumptions, overlays, and sensitivity; portfolio and segment views.
Quota share/surplus/XoL; ceded results and net positions by layer.
Loss ratio/combined ratio, RBC/Solvency proxies, and uncertainty ranges.
Model docs, sign‑off workflow, reproducible runs, and export to finance/BI.
Pricing heatmaps, reserve movements, and trend insights.
Role‑based access, audit trails, and data masking.
Data Warehouse/BI, finance/GL, PAS/claims extracts, and notebooks APIs.
Versioned assumptions and full lineage produce audit‑ready outputs.
Reusable models accelerate launches and sharpen pricing.
Modern methods and sensitivity views reduce surprises.
Quickly test net positions and capital impact.
Data, modelling, review, and reporting in an integrated flow.
Track comments and approvals across pricing and reserving teams.