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Technical Pricing Manager
Job summary
A leading recruitment agency seeks a Technical Pricing Manager to develop statistical models for insurance products. The role is remote based within the UK and requires strong actuarial pricing experience and expertise in data science techniques like Python or R. The candidate will work with senior stakeholders to drive pricing strategies and improve methodologies. A 2.1 or higher degree in a relevant field is essential, along with experience in statistical analysis software such as Willis Towers Watson.
Qualifications
- Experience of Actuarial pricing or statistical modelling within a regulated industry.
- Expertise in data science techniques using Python or R.
- Degree classification of 2.1 or above in a numerate discipline.
Responsibilities
- Creating complex actuarial models for pricing strategy.
- Assisting with statistical analyses and stakeholder interaction.
- Producing reports and presentations for stakeholders.
- Identifying opportunities for improving existing methodologies.
Skills
Education
Tools
JOB DESCRIPTION
POSITION : Technical Pricing Manager
LOCATION : Remote (UK Based)
The Technical Pricing Manager will be responsible for the production of specialist statistical risk models for their insurance products including Private Car, Van, Bike and Household.
This exciting role as Technical Pricing Manager offers the opportunity to explore and use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques to generate profitable business growth. The Technical Pricing Manager will manage projects, assist in guiding data preparation, performing and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions – all of which will help drive their competitive positioning.
The ideal Technical Pricing Manager must be commercially focussed to work in partnership with senior stakeholders for them to make better informed decisions when it comes to setting pricing rates. As a technical expert in your field, the Technical Pricing Manager will manage and develop pricing analysts to turn data into information that ultimately drives a truly value based pricing proposition.
- Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing
- Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems
- Producing reports, documentation, and presentations to communicate statistical models and results to key stakeholders
- Identifying opportunities to challenge and improve existing methodologies, deploying new analytical techniques that deliver new insights and tangible operational improvements
- Experience of Actuarial pricing or statistical modelling, preferably within a regulated, multi-divisional industry
- Experience of data science techniques in Python or R
- Specialist knowledge in statistical analysis software – Willis Towers Watson (Emblem, Radar) is highly advantageous
- 2.1 or above degree in a numerate discipline : for example, but not limited to, Mathematics, Statistics, Engineering, Physics, Computer Science or Actuarial Science
- Expertise in understanding pricing and underwriting principles ideally within personal or commercial lines on a large business scale
- Making decisions about the production and maintenance of pricing models and evaluate and identify the profitability and price position of new and existing product propositions
- Previous experience of working in partnership with teams and senior stakeholders in order to influence, gain buy in and share knowledge with particular emphasis on being able to present difficult concepts clearly
If you are interested please apply with your updated Cv.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.