Lead Retail Pricing Analyst - Home Insurance
Salary: £90,000 - £110,000 + Benefits
Location: Hybrid. 2-3 days p/wk in London office.
Are you ready to transform data into decisions that matter?
This isn't just about crunching numbers—it's about leading the charge in retail pricing for Home Insurance. If you love diving deep into data, crafting models that predict the future, and delivering insights that move the needle, this is your moment to shine.
What You'll Own
Lead day-to-day pricing analysis, modelling, and recommendations. Build datasets that turn raw data into actionable insights. Design and deploy rating models that predict claims, conversions, and retention. Drive retail price optimisation projects and ensure every rate is fair. Be the go-to technical genius for underwriting and pricing support. Collaborate with stakeholders to deliver results that exceed expectations. What Makes You Perfect for This Role
Multiple years of experience in insurance pricing with good WTW Radar skills. A sharp mind with a 2:1 degree in Maths, Physics, Econometrics, or similar. Fluent in SQL, Python, R, or other data wizardry tools. Proven track record in pricing updates, performance monitoring, and segmentation. Why This Role?
You'll lead projects that redefine retail pricing, and you'll do it with a team that values collaboration as much as technical skill. This is your chance to own the space where data meets innovation and make a real difference.
Does this sound like your kind of challenge? Let's talk.
Please send your CV for immediate consideration. #J-18808-Ljbffr
Salary: £90,000 - £110,000 + Benefits
Location: Hybrid. 2-3 days p/wk in London office.
Are you ready to transform data into decisions that matter?
This isn't just about crunching numbers—it's about leading the charge in retail pricing for Home Insurance. If you love diving deep into data, crafting models that predict the future, and delivering insights that move the needle, this is your moment to shine.
What You'll Own
Lead day-to-day pricing analysis, modelling, and recommendations. Build datasets that turn raw data into actionable insights. Design and deploy rating models that predict claims, conversions, and retention. Drive retail price optimisation projects and ensure every rate is fair. Be the go-to technical genius for underwriting and pricing support. Collaborate with stakeholders to deliver results that exceed expectations. What Makes You Perfect for This Role
Multiple years of experience in insurance pricing with good WTW Radar skills. A sharp mind with a 2:1 degree in Maths, Physics, Econometrics, or similar. Fluent in SQL, Python, R, or other data wizardry tools. Proven track record in pricing updates, performance monitoring, and segmentation. Why This Role?
You'll lead projects that redefine retail pricing, and you'll do it with a team that values collaboration as much as technical skill. This is your chance to own the space where data meets innovation and make a real difference.
Does this sound like your kind of challenge? Let's talk.
Please send your CV for immediate consideration. #J-18808-Ljbffr
