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Senior Pricing Analyst

Harnham - Data & Analytics Recruitment
Posted 9 hours ago, valid for 18 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position of Senior Pricing Analyst offers a salary of up to £50,000 and requires at least 2 years of experience in a pricing role within the insurance industry.
  • The role involves optimizing pricing strategies for the company's renewal portfolio to enhance customer retention and profitability.
  • The ideal candidate should have a degree in a relevant STEM field and experience with renewal pricing or strategy, as well as proficiency in programming languages like SAS, SQL, Python, or R.
  • Key responsibilities include analyzing customer data, staying updated on market trends, and collaborating with various teams to design targeted renewal offers.
  • The company is a growing UK-based insur-tech specializing in travel insurance for customers with unique needs, offering a flexible working pattern and discretionary bonus.

SENIOR PRICING ANALYST

UP TO £50,000

1 day a week in Greater London

This business seeks a Senior Pricing Analyst to work across optimising pricing strategies for their renewal portfolio. This role is critical is ensuring the business retains customers and maintains profitability.

THE COMPANY

This is a growing UK based insur-tech offering specialist travel insurance to those who may struggle with typical insurers, for reasons like ill health, and old age. This is a growth role, where you will be responsible for maximising the number of new channels the business earns through aggregator channels.

THE ROLE

You will be doing the following daily:

  • Develop and implement customised pricing strategies for renewal business to optimise customer retention while meeting profitability goals.
  • Analyse customer data and feedback to assess price sensitivity, loyalty drivers, and churn risks, integrating these insights into renewal pricing frameworks.
  • Stay up to date of competitor pricing and market trends to ensure renewal pricing remains competitive and industry-aligned.
  • Collaborate with the Customer Retention team to design targeted renewal offers, including loyalty incentives and promotional discounts.
  • Conduct A/B testing of pricing strategies to measure their effectiveness on renewal rates and customer satisfaction.
  • Apply statistical and machine learning tools to develop and refine renewal pricing models using platforms like Earnix, Akur8, Python, or R.
  • Create detailed reports and presentations for senior management, highlighting key trends, insights, and recommendations for pricing updates.
  • Build and maintain interactive dashboards in tools like Tableau to ensure continuous visibility into pricing performance.
  • Align renewal pricing strategies with overall risk appetite and product coverage goals in collaboration with cross-functional teams.
  • Work with Commercial and Marketing teams to effectively communicate pricing strategies and support retention campaigns.
  • Partner with Product teams to evaluate the impact of pricing changes on customer experience and product competitiveness.
  • Explore opportunities to streamline renewal pricing workflows through automation, AI, and advanced analytics for enhanced efficiency.

YOUR SKILLS AND EXPERIENCE

  • Degree in Mathematics, Statistics, Economics, Actuarial Science, or related STEM field.
  • 2+ years of experience in a pricing role within the insurance industry.
  • Experience working with renewal pricing/strategy is desirable.
  • Experience working with insurance products.
  • Proficiency in SAS, SQL, Python, or R.
  • Knowledge of predictive analytics, machine learning methods, and demand modelling.
  • Strong written and verbal communication skills.
  • Numerate degree from a Russel Group university.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £50,000.
  • Discretionary bonus.
  • Flexible working pattern.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.