Lead Pricing Analyst

Lead Pricing Analyst

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead pricing projects, analyse data, and recommend pricing actions to boost growth.
  • Company: Join Ageas, a top UK insurance provider known for innovation and exceptional service.
  • Benefits: Enjoy flexible working, 35+ days holiday, health support, and tech deals.
  • Why this job: Be part of a dynamic team influencing business strategy and making a real impact.
  • Qualifications: Degree in a numerical field; experience in insurance pricing and programming skills required.
  • Other info: Flexible work options available; inclusive employer committed to diversity.

The predicted salary is between 48000 - 72000 £ per year.

Job 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 pricingrelated projects to deadline and quality standards. They will directlyinfluence the future growth of the business, with key deliverables to increaseconversion, retention and overall company income and profitability.

The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income 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 retail pricing in the wider Ageas UK Group.

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 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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Lead Pricing Analyst employer: Ageas

Ageas is an exceptional employer that prioritises employee well-being and professional growth, offering flexible working arrangements and a supportive work culture. With a commitment to inclusivity and a range of benefits including generous holiday allowances, health support, and development opportunities, Ageas fosters a thriving environment for its employees in the Eastleigh/Bournemouth area. Join us to be part of a dynamic team where your contributions directly influence the future of our business while enjoying a balanced work-life experience.
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Contact Detail:

Ageas Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Pricing Analyst

Tip Number 1

Familiarise yourself with the latest trends in insurance pricing, especially in home insurance. Understanding current market dynamics and competitor strategies will help you stand out during discussions with our team.

Tip Number 2

Brush up on your programming skills, particularly in SAS, R, or Python. Being able to demonstrate your proficiency in these languages during interviews can significantly boost your chances of landing the role.

Tip Number 3

Prepare to discuss your experience with predictive modelling techniques. Be ready to share specific examples of how you've applied these methods to solve complex business problems in your previous roles.

Tip Number 4

Showcase your leadership and coaching abilities. Since the role involves managing and developing junior analysts, highlighting your experience in mentoring or leading teams will be crucial in making a strong impression.

We think you need these skills to ace Lead Pricing Analyst

Analytical Skills
Statistical Modelling
Predictive Modelling Techniques
Programming Skills (SAS, R, Matlab, Python)
Data Manipulation
Experience with Emblem and Radar
Coaching and Development Skills
Communication Skills
Project Management
Attention to Detail
Problem-Solving Skills
Ability to Influence Stakeholders
Organisational Skills
Self-Motivation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in insurance pricing and analytical skills. Emphasise your proficiency in programming languages like SAS, R, or Python, as well as any predictive modelling techniques you've used.

Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Lead Pricing Analyst role at Ageas. Mention specific projects or experiences that demonstrate your ability to manage pricing analyses and influence strategic decisions.

Showcase Your Analytical Skills: Provide examples of how you've used data analysis to solve complex business problems. Highlight any experience with machine learning models or statistical techniques that are relevant to the role.

Prepare for Potential Questions: Think about how you would explain advanced statistical concepts to a non-statistical audience. Be ready to discuss your coaching experience and how you've developed junior staff in previous roles.

How to prepare for a job interview at Ageas

Showcase Your Analytical Skills

As a Lead Pricing Analyst, you'll need to demonstrate your ability to analyse complex data. Be prepared to discuss specific examples of how you've used statistical techniques or programming languages like SAS or Python to solve business problems.

Prepare for Technical Questions

Expect questions about predictive modelling techniques such as Logistic Regression or Decision Trees. Brush up on these concepts and be ready to explain them in simple terms, as you may need to convey advanced ideas to non-statistical audiences.

Highlight Your Leadership Experience

Since the role involves managing and coaching junior analysts, share your experiences in mentoring or leading teams. Discuss how you've developed others' skills and contributed to their professional growth.

Understand Ageas's Business Model

Familiarise yourself with Ageas's position in the insurance market and their approach to pricing. Being knowledgeable about their products and services will show your genuine interest in the company and help you align your answers with their strategic goals.

Lead Pricing Analyst
Ageas
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  • Lead Pricing Analyst

    Full-Time
    48000 - 72000 £ / year (est.)
  • A

    Ageas

    1000-5000
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