Senior Pricing Analyst - Market

Ageas Insurance Limited; England; Hybrid; GBP 44,000 - 53,000; Part time

Job summary

A major UK insurance company is seeking a Senior Pricing Analyst to enhance their pricing strategy in the home insurance market. This role involves coaching analysts and developing predictive models while offering a competitive salary of up to £52,800. Ideal candidates will have experience in insurance pricing and programming skills. The position allows for hybrid working arrangements and boasts numerous employee benefits.

Benefits

Flexible Working

Dental Insurance

Annual Bonus Schemes

Competitive Pension

Well-being activities

Qualifications

• 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.

Responsibilities

• Develop and coach Pricing Analysts.
• Develop, validate, review, and approve predictive machine learning models.
• Perform price optimisation and improve existing processes.

Skills

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)

Experience with predictive modelling techniques

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

Ability to convey advanced statistical concepts

Self-motivated with the drive to work on your own initiative

Education

Degree in a numerical discipline

Tools

SAS

R

Matlab

Python

Octave

Job description

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

Senior Pricing Analyst - Market

Ageas has an exciting opportunity for a Senior Pricing Analyst to join the Market Pricing Team. Ageas is delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market. You will be at the forefront in delivering this strategy, supporting the monitoring of performance and contributing to the profitable development of Ageas’ Household portfolio through control of pricing.

Main Responsibilities

• Develop and coach Pricing Analysts.
• Develop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictiveness.
• Deliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while exploring new data sets to enhance models.
• 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.

Skills and Experience

• 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.

Benefits

• Flexible Working – Smart gives employees flexibility around location (within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop-offs. We also offer all our vacancies part-time/job-shares. Minimum of 35 days holiday (inc. bank holidays) and the ability to buy and sell days.
• Supporting your Health – Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness.
• Supporting your Wealth – Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
• Supporting you at Work – Well-being activities, mindfulness sessions, Sports and Social Club events and more.
• Supporting you and your Family – Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay.
• Benefits for Them – Partner Life Assurance and Critical Illness cover.
• Get some Tech – Deals on various gadgets including Wearables, Tablets and Laptops.
• Getting around – Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
• Supporting you back to work – Return to work programme after maternity leave.

About Ageas

We are one of the largest car and home insurers in the UK. As an inclusive employer, we encourage anyone to apply.

We are a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive.