Actuarial Manager (Health Pricing)

Overview

As Actuarial Manager in the Health Pricing team, you own the end-to-end development of risk models for individual and SME health products, blending machine learning with actuarial methods. You will lead modelling lifecycle, governance, and stakeholder communication to deliver robust, live-pricing solutions. You’ll influence pricing outcomes through external data integration, model interpretation, and technical leadership across projects. This is a senior, impact-focused role in a purpose-driven, hybrid environment.

Pay / Benefits

• Bonus schemes
• Pension matching up to 6%
• Vitality health insurance
• Life assurance four times salary
• Flexible hybrid work options
• Competitive salary and benefits

Responsibilities

• Direct the development of advanced risk models for health insurance products using ML and GLMs
• Own the full modelling lifecycle from data design to live pricing implementation
• Source and evaluate external data to improve risk segmentation and pricing opportunities
• Research and validate new rating factors and translate findings into actionable recommendations
• Build and enhance pricing models in Python and pricing software, applying actuarial judgement
• Translate ML outputs into explainable rating structures and coordinate live changes with Pricing Implementation
• Maintain model governance, documentation, recalibration triggers, and audit readiness
• Identify pricing risks and opportunities and present recommendations to stakeholders
• Lead pricing projects and provide technical coaching to strengthen team capabilities
• Review modelling work to uplift overall modelling quality across the team

Key requirements

• Extensive experience in insurance pricing, especially health or personal lines
• Hands-on experience with GBMs (XGBoost/LightGBM) and GLMs
• Proven track record of taking models from development to live rates
• Strong Python programming skills for pricing model development
• Advanced SQL skills for data extraction and processing
• Strong analytical judgement to solve complex pricing problems
• Experience managing pricing projects with multiple stakeholders
• Excellent communication skills for translating technical findings to diverse audiences
• Actuarial qualifications (Fellowship of IFoA or equivalent advantageous)
• Experience with external pricing data and interpretability methods (SHAP, PDP) is advantageous

• Strong communication and stakeholder management
• Technical leadership and mentoring
• Problem solving with commercial judgement
• Python
• SQL
• GBMs (XGBoost/LightGBM)

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