{
  "job_id": "baJ_FZxUBhgHKSn0AAAAAA==",
  "job_city": "Cambridge",
  "job_state": null,
  "job_title": "Lead Pricing Analyst - Insurtech",
  "job_salary": null,
  "job_country": "GB",
  "job_benefits": null,
  "job_latitude": 52.1950788,
  "job_location": "Cambridge",
  "job_onet_soc": "19309400",
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "Jobilize",
      "apply_link": "https://www.jobilize.com/job/gb-east-anglia-cambridge-lead-pricing-analyst-insurtech-north-co-recruitment?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": null,
      "publisher": "Jobilize",
      "apply_link": "https://www.jobilize.com/job/gb-east-anglia-cambridge-lead-pricing-analyst-insurtech-north-co-recruitment"
    }
  ],
  "employer_logo": null,
  "employer_name": "North Co Recruitment",
  "job_is_remote": false,
  "job_longitude": 0.1312729,
  "job_posted_at": "5 days ago",
  "job_publisher": "Jobilize",
  "job_apply_link": "https://www.jobilize.com/job/gb-east-anglia-cambridge-lead-pricing-analyst-insurtech-north-co-recruitment?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "North Co Recruitment are working with a leading insurtech to appoint a Pricing Lead into their Retail Pricing team. This is a senior technical role with responsibility for leading model development, shaping pricing strategy and delivering commercial outcomes across a high-volume direct motor book, operating in a data-driven, fast-growth environment.\n\nWhat you'll do\n• Lead pricing workstreams, overseeing model build and advising on long-term pricing strategy.\n• Develop and implement pricing models using GLMs, machine learning and optimisation techniques.\n• Manage rate changes and implementation of new pricing algorithms to drive performance.\n• Deliver actionable insights and recommendations that balance customer satisfaction with profitability.\n• Partner with stakeholders across the business to solve key commercial questions and support strategic decision-making.\n• Perform data enrichment and analysis to identify market opportunities and competitive advantages.\n• Recruit, develop and manage junior analysts, controlling workloads and fostering team capability.\n• Proactively improve processes, tools and techniques within the Retail Pricing function.\n• Represent the pricing team in senior leadership meetings and act as a technical point of contact.\n\nWhat we're looking for\n• Strong experience in personal lines insurance pricing, ideally motor.\n• Proven track record of building and implementing predictive models in a commercial environment.\n• Advanced technical skills across SQL, Python, and pricing platforms (Emblem, Radar, SAS or similar).\n• Solid mathematical and statistical foundation, with experience in GLMs, optimisation and non-linear methods.\n• Experience with Azure DevOps, Databricks, GitHub or equivalent tools.\n• People and project management capability, with the ability to lead workstreams and develop junior team members.\n• Excellent communication skills, with the ability to present complex analysis to senior stakeholders.\n• BSc or MSc in Mathematics, Physics, Computer Science or similar discipline (PhD desirable).\n\nSalary: Up to £75,000 plus discretionary bonus\n\nLocation: Remote first with quarterly attendance to a UK based office.\n\nPlease note, the client is unable to offer sponsorship for this opportunity.\n\nFor more information or to discuss other opportunities, reach out to Tom Parker, visit our website or follow our LinkedIn page.\n\nRemote-first working applies",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3DbaJ_FZxUBhgHKSn0AAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": "https://www.northcorecruitment.com",
  "job_onet_job_zone": "5",
  "job_salary_period": null,
  "job_apply_is_direct": false,
  "job_employment_type": "Full–time",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1773619200,
  "job_posted_at_datetime_utc": "2026-03-16T00:00:00.000Z"
}