About Tempcover
Tempcover is a high‑volume short‑term UK motor insurance company focused on flexible, quick, and easy car insurance. We seek an analytical leader for our InsurTech business to drive profitable growth.
Location & Hybrid Work
London (Hybrid: 2 days per week in either our London or Fleet office).
About the Role
The Lead Portfolio Analyst in our Underwriting team is a critical hands‑on role (70% individual contributor, 30% project/people management). You will bridge traditional underwriting principles with cutting‑edge data science, designing and deploying automated underwriting logic and sophisticated algorithms to help our underwriters achieve targeted loss ratios on high‑volume, short‑term UK motor policies (one hour to one month).
What You’ll Work On
* Design and optimise risk strategies for temporary insurance using advanced analytics, experimentation and enriched data to drive profitable growth while managing fraud and adverse selection.
* Monitor portfolio performance in near real time, identify emerging risks and ensure underwriting decisions remain compliant with UK regulatory requirements.
* Develop growth through expanding our footprint and optimising rates while monitoring and refining to maximise potential.
* Use advanced modelling techniques to support fraud prevention and risk identification.
* Utilise immediate data enrichment and non‑traditional data sources (e.g. external validation services) to identify new signals for risk selection and fraud identification at point of quote.
* Monitor critical KPIs, highlighting movements and recommending action where necessary.
* Conduct deeper analysis to support product evolution, both core products and new opportunities.
* Manage regulatory compliance, ensuring underwriting strategies comply with FCA guidelines for fairness, transparency and data usage.
* Collaborate with Engineering and Product teams to translate complex models into scalable, production decision engines.
* Line‑manage and formally mentor junior analysts, focusing on their technical development, project allocation and best practices.
What We Look For
* Experience in the UK General Insurance market, with strong preference for high‑frequency motor insurance products.
* Proven track record of building, implementing, and optimising profitable underwriting strategies.
* Expert‑level proficiency in SQL for rapid data extraction and manipulation from large datasets.
* Advanced skills in Python or R for modelling, data transformation and visualisation.
* Strong experience with visualisation and reporting tools such as PowerBI and/or Tableau.
* Experience with cloud‑based data warehouses (e.g. BigQuery or Azure) is highly desirable.
* Familiarity with machine learning concepts and their application in insurance, particularly in real‑time scoring and fraud detection.
* Knowledge of WTW insurance software RADAR desirable but not essential.
* Excellent communication skills, ability to articulate complex findings and regulatory compliance impacts to non‑technical stakeholders.
* Strong commercial acumen and ability to balance strict risk control with high‑speed customer experience in a competitive InsurTech environment.
* Collaborative mindset, practical focus on actionable insights.
Our Commitment to You
We are dedicated to developing inclusive, user‑friendly products and services and believe teams should reflect the diverse range of our community.
What We Offer
* 10% discretionary yearly bonus and yearly pay reviews based on RVU and personal performance.
* Hybrid working with 2 in‑office days per week and up to 22 working days per year to work from anywhere.
* Employer matching pension contributions up to 7.5%.
* One‑off £300 “work from home” budget.
* Excellent maternity, paternity, shared parental and adoption leave policy.
* 25 days holiday (increasing with years of employment to 30 days) + 2 days “my time” per year.
* Private medical cover, critical illness cover and employee assistance programme.
* A healthy learning and training budget.
* Electric vehicle and cycle to work schemes.
* Regular events and company‑wide events with external speakers.
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