Technical Pricing Manager

Overview

Key responsibilities include:

• Own the end‑to‑end modelling lifecycle: problem framing, data build, feature engineering, model development, validation, documentation
• Build and maintain risk and price models using GLMs and machine learning
• Translate models into implementable rating structures
• Strong governance: change control, champion–challenger/shadow runs, rollback plans, clear approvals and audit trails

• Strong general insurance pricing toolkit: GLMs (Poisson/NB/Tweedie), GAMs, credibility/hierarchical methods; experience with tree‑based ML (GBM/XGBoost/Cat Boost) and regularisation
• Proficient in R and Python, with strong SQL; comfortable in Git‑based workflows and “in the engine room” with proprietary rating systems
• Hands‑on experience taking models from concept to live in rating engines; robust validation, change control and post‑live monitoring
• Familiarity with peril/exposure enrichment relevant to home insurance (e.g. flood and subsidence datasets) and geospatial modelling considerations
• Awareness of reserving concepts, claims inflation and their interaction with technical pricing
• Knowledge of model risk management, documentation standards and governance under UK regulation (Consumer Duty, Fair Value Assessments, GIPP)