Senior Pricing Analyst

Gerrard White Consulting; Greater London; Hybrid; GBP 67,500 - 82,500; Full time

Job summary

A leading consulting firm in the United Kingdom is seeking a Senior Pricing Analyst to optimise New Business and Renewal pricing for a home insurance portfolio. This hands-on role requires experience in building pricing models within a regulated General Insurance environment. Candidates should be skilled in SQL and statistics, able to manage stakeholders effectively, and have a passion for rapid trading cycles. A hybrid work model is offered, combining on-site and remote work.

Qualifications

• Prior experience building pricing models in General Insurance.
• Experience with cloud data warehouses and performant querying.
• Solid grasp of statistics and experimental design.

Responsibilities

• Optimise New Business and Renewal performance for Customer Lifetime Value.
• Design and evaluate controlled pricing tests (A/B).
• Analyse quote/policy data to identify revenue opportunities.
• Ensure data quality and audit-ready reporting.
• Monitor KPIs and forecast trends for price setting.

Skills

General Insurance pricing modelling experience

Strong SQL

Statistics

Stakeholder management

Tools

Python

SQL

Emblem and/or Radar

Job description

Senior Pricing Analyst – Home Insurance (Trading & Optimisation) | Up to £75,000 | Hybrid (London/South)

We’re hiring a Senior Pricing Analyst to optimise New Business and Renewal pricing for a UK home insurance portfolio. This is a hands‑on insurance pricing modelling role so you must have prior experience building pricing models and supporting live price deployment in a regulated General Insurance environment. (Non‑insurance analytics backgrounds won’t be a fit.)

You’ll work in a fast‑paced trading setting, using an in‑house pricing/optimisation suite alongside Python and SQL to run controlled price tests, mine millions of quotes for incremental opportunities, and improve customer lifetime value through smarter pricing decisions.

What you’ll do

• Optimise NB and Renewal performance to maximise Customer Lifetime Value
• Design, run and evaluate controlled pricing tests (A/B) and iterate quickly using results
• Analyse large‑scale quote/policy data to identify revenue and volume opportunities
• Own trading data management: data quality, deduplication, definitions, quote classifications and audit‑ready reporting
• Monitor KPIs, forecast trends for price setting/finance planning, and track model performance
• Partner with Technical Pricing, Data Science, Engineering, Marketing and Product to deliver impactful change

What you’ll need

• General Insurance pricing modelling experience (you’ve built and maintained pricing models)
• Strong SQL (cloud data warehouses, performant querying, reporting)
• Solid grasp of statistics, experimental design and rate calibration
• Confident stakeholder management and clear communication of recommendations

Nice to have

• Home insurance pricing experience (ideal) — other GI personal lines considered
• Emblem and/or Radar exposure
• Experience with pricing guardrails / rule‑based risk controls (e.g., fraud/acceptance constraints)

Applicants must have the right to work full time in the UK.

If you’re a pricing modeller who enjoys rapid trading cycles, measurable impact and end‑to‑end ownership, message me for a confidential discussion.

Send your CV for immediate consideration