Actuarial Pricing Manager – Health, ML & Python Lead

Vitality; Greater London; Hybrid; GBP 100,000 - 130,000; Full time

Benefits offered by this job

Bonus schemes

Pension up to 12%

Vitality health insurance

Life Assurance

Job summary

Vitality is seeking an Actuarial Manager to lead health pricing modelling, spanning ML and GLMs, governance and live implementation. The role combines pricing science with business impact, ownership of modelling lifecycle and collaboration across pricing projects.

You'll direct development of sophisticated risk models for health insurance, manage data sourcing, data design, and ensure audit-ready documentation while coaching analysts and communicating complex results to stakeholders.

Qualifications

• Extensive experience within insurance pricing, ideally across health or personal lines general insurance.
• Hands-on experience building GBMs, including XGBoost or LightGBM, alongside GLMs for insurance risk.
• Proven experience taking pricing models from development and validation through to live rates.
• Strong Python capability for developing and enhancing complex pricing models.
• Advanced SQL capability, including writing and editing complex queries to extract and process data.
• Strong technical and analytical judgement, with the ability to structure and solve complex pricing problems.
• Proven experience conducting pricing projects and delivering outcomes across multiple stakeholders.
• Excellent written and verbal communication skills, with the ability to translate complex technical information for different audiences.
• Fellowship of the Institute and Faculty of Actuaries or an equivalent actuarial qualification would be advantageous.
• Experience with Radar, Earnix or Akur8, external pricing data or model interpretability techniques such as SHAP and partial dependence would be advantageous.

Responsibilities

• Direct the development of sophisticated risk models for individual and SME health insurance products, using machine learning techniques alongside traditional GLMs.
• Own the full modelling lifecycle, from data and feature design through model development, support, sign-off and implementation into live pricing.
• Be in charge of the sourcing, evaluation and integration of external data to strengthen risk segmentation and connect new pricing opportunities.
• Research and test new rating factors, building robust statistical evidence and translating findings into clear recommendations for implementation.
• Build, customise and enhance complex pricing models using Python and specialist pricing software, applying sound actuarial judgement to assumptions and methodology.
• Translate machine learning outputs into practical, explainable and governable rating structures, working closely with Pricing Implementation to take changes live.
• Own monitoring and governance across the model suite, maintaining comprehensive documentation, defining recalibration triggers and ensuring audit readiness.
• Identify, prioritise and quantify material pricing risks and opportunities, applying commercial and technical judgement to complex business challenges.
• Lead pricing projects and manage relationships across technical and business stakeholders, communicating complex findings clearly to support informed decision-making.
• Review modelling work and provide technical coaching to strengthen modelling capability, quality and knowledge across the wider team.

Skills

Strong Insurance Pricing

Advanced Predictive Modelling

Python & SQL Expertise

Job description

Vitality is seeking an Actuarial Manager to lead health pricing modelling, spanning ML and GLMs, governance and live implementation. The role combines pricing science with business impact, ownership of modelling lifecycle and collaboration across pricing projects.

You'll direct development of sophisticated risk models for health insurance, manage data sourcing, data design, and ensure audit-ready documentation while coaching analysts and communicating complex results to stakeholders.