Pricing Analyst – Remote Data & Pricing Strategy

Animal Friends Pet Insurance Ltd

Amesbury

On-site

GBP 40,000 - 56,000

Full time

6 days ago
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Benefits offered by this job

25 days holiday
Birthday off
Private medical insurance
Pet insurance discount
Volunteer day
Gym membership discount
Wellbeing hub access
Group life assurance

Job summary

Animal Friends Pet Insurance Ltd is seeking a Pricing Analyst to join its growing Pricing Team. This role offers flexibility to be remote in the UK or hybrid, with a streamlined onboarding process to Amesbury office if preferred.

You will analyse pricing strategies, engage with major stakeholders, and contribute to end-to-end pricing projects across rate-setting, systems, and portfolio management. Strong numerical background required.

Qualifications

  • Degree with strong numerical content (2:1+ preferred).
  • GI or PMI pricing background with pricing experience.
  • Experience with pricing tools such as Emblem or Radar.
  • Proficiency in at least one statistical language (R or Python).
  • SQL experience to query and manipulate structured data.
  • Ability to build GLM and interpret outputs for insurance applications.
  • Clear communicator, able to work solo and in a team.
  • Advanced Excel skills.

Responsibilities

  • Analyse and improve pricing strategies and commercial decisions.
  • Contribute to major pricing projects and cross-workstreams.
  • Engage with stakeholders across the business from day one.
  • Work on rate-setting, systems, and portfolio management areas.

Skills

Pricing techniques
SQL
R/Python
Communication skills

Education

Degree with numerical content

Tools

Emblem
Radar

Job description

Animal Friends Pet Insurance Ltd is seeking a Pricing Analyst to join its growing Pricing Team. This role offers flexibility to be remote in the UK or hybrid, with a streamlined onboarding process to Amesbury office if preferred.

You will analyse pricing strategies, engage with major stakeholders, and contribute to end-to-end pricing projects across rate-setting, systems, and portfolio management. Strong numerical background required.

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