Senior Pricing Analyst

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London / £35000 - £45000 annum

INFO

Salary
SALARY:

£35000 - £45000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

PRICING MODELLING ANALYST

UP TO £45,000

REMOTE (London)

This is an exciting opportunity to take ownership of the pricing models and innovate and refresh predictive models within this companies predictive modelling suite.

THE COMPANY

This company is an exciting, growing business in the insurance space, offering an array of home insurance products.

THE ROLE

You will be doing the following daily:

  • Develop, innovate, and update predictive models within the retail pricing system.
  • Ensure models directly impact pricing, enhance customer experience, and boost commercial performance.
  • Run split tests on existing models, track results, and recommend improvements.
  • Work with the Senior Pricing Analyst to adjust price selection logic based on trading performance.
  • Coordinate with Retail Pricing, Technical Pricing, Data Science, Software Engineering, and Marketing teams to provide insights that drive business performance.
  • Utilize SQL for data access and Python for data processing, modeling, and pricing.
  • Work within custom-built software for optimal price setting, rather than relying on standard price tools.
  • Analyse data from millions of quotes to identify revenue growth opportunities through pricing strategies.
  • Operate in a fast-paced setting, implementing frequent price adjustments and observing results quickly.
  • Collaborate with software developers to adapt and optimize the pricing tools based on identified market opportunities

YOUR SKILLS AND EXPERIENCE

  • Previous modelling experience in an insurance setting is ideal.
  • Strong Python skills are desirable.
  • Highly analytical.
  • Numerate degree from a Russel Group university.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £45,000.
  • Flexible working, mostly hybrid.
  • Discretionary bonus.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

CONTACT

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