About the role
It is an exciting time to join our newly established pricing team within John Lewis Financial Services. Following the launch of our broker, you will have the unique opportunity to influence the direction of our modeling and reporting from the ground up. As a Pricing Analyst, you will:
* Innovate: Develop and deliver price optimisation models for Motor or Home insurance.
* Integrate: Use your technical expertise to blend traditional insurance metrics with our proprietary retail data – a data set unique to the Partnership.
* Impact: Monitor performance via bespoke dashboards, providing actionable insights that directly influence our strategy.
* Salary Expectations: Up to £45,000 depending on experience.
* Working pattern / flexible working: The Partnership has adopted a hybrid working approach, meaning you'll be able to work a mixture between the office and home based upon your personal needs whilst balancing the needs of the business. The team meets in the office 1 day a week to connect.
Key responsibilities
* Providing a range of pricing options for consideration to the Senior Pricing Manager with suggested recommendations, focusing on generating insights and value from our proprietary retail data.
* Delivering robust behavioural, demand, and market premium models in Earnix, compliant with regulations, and delivering ongoing value for customers and the business.
* Maintaining and enhancing Earnix LTV models with robust assumptions to deliver reliable lifetime value insights for responsible pricing and customer value.
* Monitoring the effectiveness of implemented pricing strategies, tracking key performance indicators (KPIs), and preparing detailed reports and presentations for senior management and stakeholders.
* Supporting the specification of monitoring and controls that will ensure continued compliance with all relevant regulations.
* Ensuring adherence to John Lewis policies and procedures, operating within all legal and regulatory guidelines.
Essential skills/experience you'll need
* Suitable numerate degree or apprenticeship (e.g., Mathematics, Statistics, Actuarial Science or similar).
* Minimum of 1 year’s experience in motor or home insurance pricing.
* Expertise in SQL.
* Good knowledge of general insurance principles, products, and practices.
* Experience building predictive models for general insurance.
* Familiarity with relevant regulations, particularly GIPP and Consumer Duty.
* Proven business judgement, with the ability to solve complex issues using pragmatic solutions.
Desirable skills:
* Knowledge of retail pricing data and modelling techniques.
* Experience with modelling tools (e.g., Emblem, Earnix, R, Python).
#J-18808-Ljbffr