Senior Technical Pricing & Risk Modeling Lead

The Emerald Group; Greater London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

The Emerald Group in London is seeking a hands-on Non-life Actuarial professional to build high-quality risk models estimating frequency, severity and pure premium. You will lead the end-to-end modelling lifecycle, perform data cleansing, feature engineering and validation, and collaborate with Portfolio, Reserving and Underwriting.

You will use GLMs, GAMs and modern ML (XGBoost/CatBoost) in R and Python, maintain documentation, ensure governance and audit trails, and translate models into

Formación

• Experience with GLMs (Poisson/NB/Tweedie), GAMs, credibility/hierarchical methods; tree-based ML and regularisation.
• Hands-on experience taking models from concept to live in rating engines; robust validation and change control.
• Knowledge of model risk management, documentation standards and governance under UK regulation (Consumer Duty, Fair Value Assessments, GIPP).

Responsabilidades

• 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, and 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/CatBoost) 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)

Conocimientos

Risk modelling

GLMs

Machine learning

Python

R

SQL

Model validation

Governance

Rating engines

Data cleansing

Herramientas

XGBoost

CatBoost

GBM

GAMs

Git

SQL

Descripción del empleo

The Emerald Group in London is seeking a hands-on Non-life Actuarial professional to build high-quality risk models estimating frequency, severity and pure premium. You will lead the end-to-end modelling lifecycle, perform data cleansing, feature engineering and validation, and collaborate with Portfolio, Reserving and Underwriting.

You will use GLMs, GAMs and modern ML (XGBoost/CatBoost) in R and Python, maintain documentation, ensure governance and audit trails, and translate models into