Lead Portfolio Analyst

Role Overview

• 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.

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.

Tech Stack

• Azure
• BigQuery
• Cloud
• Python
• SQL
• Tableau

Benefits

We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:

• 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
• A hybrid working approach 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%
• A one-off £300 “work from home” budget to help contribute towards a great work environment at home
• Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life
• 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
• from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.