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Lead pricing analyst

Bournemouth
Ageas
Pricing analyst
Posted: 14 September
Offer description

Overview

Job Title: Lead Pricing Analyst

Target Start Date: ASAP

Contract Type: Permanent, Part Time, Full Time, Job Share option available

Salary Range: £55,000 - £65,000

Location: Bournemouth, hybrid - once a month

Work Level: 4

Hiring Manager: Raquel Stokes

Lead Pricing Analyst – Fantastic opportunity to join our MarketPricing team as a Lead Pricing Analyst, assisting to plan and deliver pricing-related projects to deadline and quality standards. They will directly influence the future growth of the business, with key deliverables to increase conversion, retention and overall company income and profitability.


Role details

Contract Type: Permanent, Part Time, Full Time, Job Share option available. Salary Range: £55,000 - £65,000. Location: Bournemouth, hybrid - once a month. Target Start Date: ASAP. Work Level: 4. Hiring Manager: Raquel Stokes.


Main Responsibilities

* Management, development and coaching of Pricing Analysts.
* Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness.
* Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring; exploring new data sets and their ability to enhance models.
* Development and maintenance of pricing models and support for their deployment.
* Carry out price optimisation and improve on existing price optimisation processes using innovative techniques; prepare recommendations for senior stakeholders.
* Maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models.


Skills and experience

* 3+ years’ experience in insurance pricing or related analytical background.
* Highly skilled in the use of programming language (e.g. SAS) to manipulate data.
* Experience in some of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets.
* Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave).
* Knowledge and/or experience of Price Optimisation.


To find out more

To find out more about this role and for information please contact Zoe Powell or Raquel Stokes. Alternatively, click on the “Apply Button” to be considered.

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