Lead Portfolio Pricing Analyst (Portfolio Management) Location: This position is largely remote, with the occasional travel. We have offices in Manchester and London. Role Overview We’re looking for a Lead Portfolio Pricing Analyst to join our expanding Portfolio Management team within the fast-paced and ambitious world of personal lines underwriting. This is an exciting opportunity to take a lead role in shaping our pricing strategies and performance monitoring frameworks while contributing to the profitability and growth of our product portfolio. In this senior role, you will lead key aspects of portfolio performance analysis and pricing interventions, using a blend of analytical expertise, commercial acumen, and cross-functional collaboration to influence key business decisions. You’ll support and mentor a small team of analysts, play a key role in driving innovation and pricing best practice, and act as a trusted expert across the business. The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities Lead the design and evolution of our performance monitoring frameworks across product lines Drive tactical pricing initiatives and optimise pricing opportunities through robust analytical insights Provide strategic oversight of pricing recommendations that improve portfolio performance and meet profitability targets Collaborate with Underwriting, Technical Modelling, and Data teams to inform product development, technical model calibration, and risk cost feedback loops Manage stakeholder relationships across the business, ensuring clear communication of analytical insight and pricing impacts Mentor and develop junior analysts, fostering a culture of learning, innovation, and continuous improvement Contribute to and help shape the delivery of the Pricing roadmap in line with our long-term strategy and growth objectives Key Skills and Experience Substantial experience within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW’s Radar and Emblem software is preferred Excellent communication skills, with the ability to translate complex analysis into clear, actionable insight A good quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science or Actuarial Science Behaviours Self-motivated, with a passion for coaching and developing others A logical thinker with a proactive, positive mindset Enthusiastic about innovation, with a keen eye for improving processes and challenging the status quo