Pricing Analyst
Maxwell Bond · London, England ·
Pricing Data Analyst Location: UK, Remote First Salary up to £70,000, depending on experience We are working with a growing insurance business who are looking for a highly analytical Pricing Data Analyst to join a growing data and analytics Pricing Team.
You will use statistical analysis, data science and modelling to support pricing decisions across the business. The role suits someone with a strong mathematical or statistical background who enjoys solving commercial problems through data.
What you will be doing as their Pricing Data Analyst: Analyse pricing and insurance data to identify trends and opportunities. Develop statistical and predictive models to support pricing decisions. Analyse the impact of pricing changes.
Support pricing and underwriting teams with data-driven insight. Build and improve data science models using Python. Work with large datasets and translate analysis into commercial recommendations. Support model development, testing and validation.
Present findings and recommendations to technical and non-technical stakeholders. Work closely with the wider data, pricing and underwriting teams. What we are looking for: Strong Python and SQL skills. Strong statistical and analytical ability, with experience with statistical modelling Pricing experience, ideally within insurance or financial services.
Actuarial experience or progress towards actuarial exams would be highly relevant. Someone who thinks analytically and Strong mathematics and statistic skills. Communicates clearly with technical and non-technical stakeholders.
Enjoys working collaboratively. The team are remote first; however, you will still meet in person for workshops, training, team meetings and company-wide events when required. These sessions will typically take place around once to twice a month, depending on business requirements.
Travel and accommodation expenses will be covered where office attendance requires travel. Salary up to £70,000, 28 days holiday + 8 bank holidays (36 total), 4pm finish on Fridays, annual training budget and clear progression opportunities, + much more! If this sounds like your next role, apply today!