Lead Portfolio Analyst

Requirements

• Experience in the UK General Insurance market, with strong preference for experience in 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 a statistical programming language (Python or R) for modeling, 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 for processing real-time risk data
• Familiarity with machine learning concepts and their application in insurance, particularly in real-time scoring and fraud detection
• Familiarity with the WTW insurance software RADAR is desirable but not essential
• Excellent communication skills, with the ability to articulate complex analytical findings and regulatory compliance impacts to non-technical stakeholders
• Strong commercial acumen and the ability to balance strict risk control with high-speed customer experience in a competitive InsurTech environment
• Collaborative mindset, keen to support others and learn from them. Pragmatic and focused on finding actionable insights
• You don’t need to tick off everything on this list – so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us!

What the job involves

• 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 panel of underwriters achieve targeted loss ratios on high‑volume, short‑term UK motor policies (one hour to one month)
• You’ll join our underwriting team working on the development and optimisation of risk strategies for temporary insurance, using advanced analytics, experimentation, and enriched data to drive profitable growth while managing fraud and adverse selection
• You’ll actively monitor portfolio performance in near real time, identify emerging risks, and ensure underwriting decisions remain compliant with UK regulatory requirements
• Drive growth through expanding our footprint and optimising rates, considering profitability and risk in every initiative, monitoring and refining to maximise potential
• Use advanced modelling techniques to support the prevention of fraud and the advancing identification of riskUtilise 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 key performance indicators (KPIs), highlighting movements and recommending action where necessary
• Conduct deeper analysis to support product evolvement, both for core products and new opportunities
• Manage regulatory compliance, ensuring all underwriting strategies adhere to UK regulatory bodies (e.g FCA) guidelines for fairness, transparency, and data usage
• Work closely 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

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