Senior Pricing Analyst - Strategic Market

Ageas; Bournemouth; Hybrid; GBP 44,000 - 53,000; Part time

Job summary

A leading insurance company is seeking a Senior Pricing Analyst to join the Strategic Pricing Team in Bournemouth. The ideal candidate will have strong experience in insurance pricing, programming skills, and a track record in predictive modelling. This role offers flexible working options and a salary of up to £52,800, depending on experience.

Benefits

Flexible working options

Health and Wellbeing benefits

Annual bonus schemes

Competitive pension

Qualifications

• 3+ years' experience in insurance pricing or a related analytical background.
• Proficient in programming languages (e.g., SAS, R, Python).
• Experience with predictive modelling techniques.

Responsibilities

• Develop and coach Pricing Analysts.
• Validate and review predictive machine learning models.
• Deliver datasets for modelling, pricing, and monitoring.

Skills

Experience in insurance pricing

Programming languages (SAS, R, Python)

Predictive modelling techniques

Data manipulation

Communication with non-statistical audience

Education

Degree in a numerical discipline

Tools

SAS

R

Python

Job description

Overview

Job Title: Senior Pricing Analyst – Market
Target Start Date: ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: Up to £52,800 DOE
Location: Bournemouth, hybrid

Ageas have an exciting opportunity for a Senior Pricing Analyst to join the Strategic Pricing Team. Ageas is delivering wholesale improvements to pricing sophistication, performance management capability and technical excellence to compete in the home insurance market. You will help monitor performance and contribute to the profitable development of Ageas’ Household portfolio through control of pricing.

Responsibilities

• Develop and coach Pricing Analysts.
• Develop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictability.
• Deliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while exploring new data sets to enhance models.
• Develop and maintain pricing models and support their deployment.
• Perform price optimisation and improve existing processes using innovative techniques; prepare recommendations for senior stakeholders.
• Deploy and review rates in the live rating engine.
• Maintain and apply models of customer and market behaviour, incorporating machine learning into behavioural models.
• Combine MI, modelling results, and company targets to develop a balanced view of current and future pricing performance.
• Maintain records to coordinate pricing decisions and implementation across teams and decision-making bodies.
• Execute, develop, and manage projects across all stages of the pricing control cycle.
• Inform and influence senior management, heads of department, and peers across the Pricing and Underwriting department.
• Deputise for senior colleagues when required.

Competencies

• Degree level or equivalent in a numerical discipline.
• 3+ years’ experience in insurance pricing or a related analytical background.
• Proficient in using programming languages (e.g., SAS) to manipulate data.
• Experience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural Nets.
• Skilled in programming languages (e.g., R, Matlab, Python, or Octave).
• Knowledge and/or experience in Price Optimisation.
• Proven ability to use analytics to solve complex business problems.
• Experience in influencing colleagues at all levels, 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 your own initiative.

Performance Measures

• Delivery of high quality pricing projects from start to end with minimal management input.
• Proficiency in data, modelling, pricing and reporting tasks.
• Speedy delivery and accuracy of data, models, pricing rates and reports.
• Ensure work is reliable and free of errors.
• Ensure model accuracy and robustness meet the business need for stability and sustainability.
• Creativity and innovation: quantity and quality of new developments - develop new analytical solutions using industry best practice and critical business requirements.
• Teamwork: Build strong working relationships with colleagues across the business.

About Ageas & Benefits

• Flexible Working: Smart Working at Ageas; flexibility around location (within the UK) and within the working day; part-time/job-share options available; minimum 35 days holiday (incl. bank holidays).
• Health & Wellbeing: Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health support, wellbeing activities.
• Wealth & Rewards: Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
• Work Environment: Well-being activities, yoga, mindfulness sessions, Sports and Social Club events.
• Family Support: Maternity/pregnant parent/primary adopter entitlement of 16 weeks full pay; paternity/non-pregnant parent/co-adopter entitlement of 8 weeks full pay.
• Additional Benefits: Partner Life Assurance and Critical Illness cover; tech deals on gadgets; car salary exchange; cycle scheme; vehicle breakdown cover; return-to-work programme after maternity leave.