Senior Pricing Analyst at Homeprotect optimizing new and renewal home insurance products. Collaborating with teams to enhance customer lifetime value and maximize revenue in a hybrid setting.
Responsibilities
Help to optimise the performance of all New Business and Renewal home insurance products to maximise Customer Lifetime Value of every customer.
Use in-house optimization tools to find best balance between expected volume of sales and revenue.
Deploy price changes, design and run controlled price tests, mining millions of quotes to find incremental sales and revenue opportunities.
Manage trading data: keeping performance and modelling datasets clean and consistent, managing quote classifications, deduplication methodology and the logic behind business reports.
Monitor KPIs, produce audit ready reporting, forecast trends for price setting and finance planning, monitor model performance and feed insights back to the Optimisation team.
Work in a fast‑paced environment with frequent rate changes and rapid feedback loops, using pricing/optimisation suite alongside SQL and Python for data access, processing and price setting.
Collaborate closely with Technical Pricing, Data Science, Software Engineering, Marketing and other stakeholders, and help shape the long‑term retail pricing strategy.
Requirements
3–5 years’ pricing experience with hands-on retail price optimisation in complex, competitive industries (e.g., General Insurance, Travel, Pharmaceuticals).
Numerate degree (e.g., Data Science, Mathematics, Physics, Engineering) or equivalent professional experience.
Proficient Python for data processing, visualisation and statistical/modelling workflows.
Strong SQL and advanced Excel for data manipulation, reporting and KPI dashboarding.
Solid grasp of statistics, experimental design and price elasticity;
Proven experience designing, running and evaluating controlled pricing tests (A/B), and performing rate calibration with Actuals vs Expected monitoring.
Demonstrable ownership of data quality/governance (deduping, data definitions, report logic, auditability).
Experience monitoring trading performance by channel/segment and communicating insights clearly to technical and non‑technical stakeholders.
Practical experience deploying pricing changes to production (staging/testing, sign‑off, live validation, rollback).
Forecasting skills to inform pricing and finance planning.
Experience acting as a bridge between analytics and data engineering, including defining/managing a web/app data layer.
Exposure to rule‑based risk controls (e.g., fraud rules/guardrails) within pricing or customer acquisition.
Strong problem‑solving, prioritisation and adaptability in a fast‑paced, regulated environment.
Clear written and verbal communication; comfortable presenting trading performance and recommendations to senior management.
Legal right to work in the UK.
Benefits
A genuinely flexible approach to work. We are really supportive of you flexing your hours and location to help you keep everything in your life in balance.
Opportunities to focus on your professional growth whether that’s through training or other personal development opportunities - we want you to build your long-term career with us.
Discount of 50% and 15% for friends and family when you choose to take out a home insurance policy with us.
An in-house wellbeing programme including seminars and workshops from wellbeing coaches and professionals.
Home working starter kit and money to spend on additional equipment you may need.
Charitable giving scheme, so you can donate to our partner charity, or one of your choices.
The opportunity to work alongside brilliant people, because this isn’t something that every organisation can offer!
25 days’ holiday (plus bank holidays) and the ability to buy and sell >5 days annually.
Private medical cover for all employees
Life insurance
Annual discretionary bonus scheme
Pension contribution
Free fruit and really good coffee for the days you come into the office.
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