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Lead Pricing Analyst job in Bournemouth

Vacancy has expired

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Bournemouth Ageas

Job Ref:  req2219
Employer:  Ageas
Sector:  Life Insurance
P&C/General Insurance/Non-Life
Qualifications:  Unclassified
Software:  Emblem
Matlab
Python
R
Radar
SAS
Job Type:  Full Time
Salary and Benefits:  £60,000 per year
Remote:  No

Location

Country:  United Kingdom
City:  Bournemouth
Post Code:  Not specified
Map: 

Description

Job Title: Lead Pricing Analyst
Target Start Date: 4/1/2024
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: Circa £60k DOE
Location: Eastleigh/London/Bournemouth
Work Level: 4
Closing Date for applications: 29/03/204

Lead Pricing Analyst (Home): Ageas is a leading insurance provider committed to delivering exceptional service and innovative solutions to our customers. As part of our growth strategy, we are seeking a talented Lead Pricing Analyst to join our dynamic Pricing team in one of our southern offices.
The Lead Pricing Analyst will plan and deliver pricing related projects to deadline and quality standards. They will directly influence the future growth and profitability of the business. The role will involve the management of detailed analysis of data using sophisticated actuarial and statistical techniques in order to recommend pricing actions which increase volume and profit. In addition, the Lead Pricing Analyst will build pricing capability and core skills within the business, as well as influence the strategic direction of risk pricing team and within the wider Ageas UK Group.

Please note that this role will be a mixture of working from home and the office.

Main responsibilities for the Lead Pricing Analyst:
  • Management, development and coaching of Pricing Analysts and Senior Pricing Analysts.
  • Develop, validate, review and approve predictive and machine learning models
  • Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring
  • Development and maintenance of pricing models and support for their deployment
  • Carry out pricing analyses and prepare recommendations for senior stakeholders
  • Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment
  • Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets
  • Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways
  • Execution, development and project management across all stages of the price control cycle as required
  • Manage the use of our price positioning and competitor analysis in order to decide/recommend, as appropriate, changes to optimise Ageas' competitive positioning and contribution per policy.
  • Inform and influence senior management and heads of department
  • Deputise for the Senior Pricing Manager or Manager where required, including meetings with senior management.

The successful Lead Pricing Analyst will have the following:
  • Educated to degree level or equivalent in a numerical discipline.
  • 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)
  • Experience of Emblem and Radar
  • Experience of using analytics to solve complex business problems.
  • Effective coaching of junior staff and development of pricing skills.
  • Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors.
  • Ability to convey advanced statistical concepts to a non statistical audience.
  • Self motivated, with the drive, energy and ability to work on own initiative.
  • Very strong planning, prioritisation and organisational skills.

Here are some of the benefits you can enjoy within the Lead Pricing Analyst role:

At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.
  • Flexible Working - Smart Working @ Ageas gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares . We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.
  • Supporting your Health - Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders.
  • Supporting your Wealth - Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
  • Supporting you at Work - Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more.
  • Benefits for Them - Partner Life Assurance and Critical Illness cover
  • Get some Tech - Deals on various gadgets including Wearables, Tablets and Laptops.
  • Supporting you back to work - Return to work programme after maternity leave

About Ageas:We're one of the largest car and home insurers in the UK. Our people help Ageas to be a thriving, creative and innovative place to work, which is echoed in the service we provide to over four million customers.
As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter, a Stonewall diversity champion and a Disability Confident Employer (which means interviews are guaranteed for applicants with a disability who meet the minimum role criteria). For more information please see Ageas Everyone.
Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. To find out more about Ageas, see About Us.
ref: (req2219)
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