Aggregator Pricing Analyst

AllClear - Voted UK's No.1 for Customer Care
Romford
1 year ago
Applications closed

Related Jobs

View all jobs

Benefit Risk Management Center of Excellence Data Scientist

CDI - Data Engineer (Data Science)

Data Science Associate Partner

Data Engineer (Data Science)

Data Scientist

Senior Data Scientist (Clinical Data Analytics)

Job Overview


As an Aggregator Pricing Analyst, you will be responsible for analysing, developing and implementing pricing strategies tailored to aggregator channels (e.g. Money Supermarket, Compare the Market, GoCompare etc). You will work closely with the Pricing, Underwriting and Commercial teams to ensure our products are competitively priced while maintaining profitability and aligning with business objectives. This is an exciting opportunity to contribute to the growth of our travel insurance business and drive innovation in our pricing practices.


Main Duties


  • Collaborate with Product, Underwriting, Finance and Marketing to design and price new travel insurance products tailored to different customer segments
  • Conduct market research and competitor analysis to identify gaps and opportunities for new product development
  • Develop and validate both retail and technical pricing models for new products, ensuring they meet both customer needs and profitability targets
  • Implement new pricing structures in the rating engine and ensure they are accurately reflected on aggregator platforms
  • Analyse data from aggregator platforms to understand pricing dynamics, market trends, and customer behaviour
  • Develop and implement competitive pricing strategies to maximise quote volume and conversion rates on aggregator sites
  • Monitor daily pricing performance across multiple aggregator channels, making quick adjustments as needed to optimize competitiveness
  • Perform detailed analysis of sales data and customer demographics to identify trends and opportunities for improvement
  • Use statistical and machine learning techniques to refine pricing models and ensure alignment with market conditions
  • Collaborate with the pricing team to enhance demand models and improve price sensitivity analysis
  • Track KPIs such as conversion rates, loss ratios, GWP and income across aggregator channels and brands
  • Prepare regular reports and presentations for senior management, highlighting performance trends and recommending pricing adjustments to achieve goals
  • Work closely with the Commercial team to align pricing strategies with sales targets and partner requirements
  • Liaise with the Product and Underwriting teams to ensure that pricing changes are consistent with product coverage and regulatory requirements
  • Partner with Marketing to test and implement promotional pricing strategies on aggregator platforms
  • Stay up-to-date with industry trends, competitor activities, and developments in travel insurance pricing
  • Identify opportunities for process improvements and automation in the pricing workflow, leveraging tools like Earnix or Akur8
  • Participate in cross-functional projects aimed at enhancing pricing capabilities and increasing market share


This list of duties is neither exclusive nor exhaustive and may be amended by Senior Management from time to time, nor is it in any order of importance.


Knowledge & Skills Required

  • Degree in Mathematics, Statistics, Economics, Actuarial Science, or a related quantitative field
  • 2+ years of experience in a pricing or data analysis role, preferably within the insurance industry
  • Experience working with aggregator platforms (e.g. Compare the Market) is highly desirable
  • Proven experience in developing and pricing new insurance products is desirable
  • Proficient in data analysis tools such as SAS, SQL, Python, R etc…
  • Proficient in pricing software (e.g. Earnix, Akur8, Emblem, Radar etc…) and rating engines is a strong advantage
  • Understanding of statistical modelling techniques
  • Strong analytical mindset with the ability to interpret complex data and make data-driven decisions
  • Excellent attention to detail and the ability to identify trends and anomalies in large datasets
  • Strong written and verbal communication skills, with the ability to present complex information clearly to both technical and non-technical stakeholders
  • Proven ability to work collaboratively in cross-functional teams and build and sustain strong working relationships with a variety of stakeholders


Hours


37.5 hours per week, Monday to Friday inclusive. However, a flexible approach between the core working hours of 8:00am – 8:00pm is essential. Infrequent weekend and evening working will be required, as requested by Senior Management, for which time off in lieu will be given.


Why Join Us?


Be part of an innovative, data-driven team that’s transforming the travel insurance industry. Opportunity to work on cutting-edge pricing projects and play a significant role in developing new products. Hybrid working options and a supportive company culture.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.