Key Responsibilities: Design, build, deploy, and maintain actuarial and pricing models across the full actuarial control cycle Plan and implement model and system enhancements, including impact and sensitivity analysis Interpret and communicate actuarial results relating to profitability, pricing strategies, and policy growth Analyse, validate, and reconcile data from multiple sources to ensure robust modelling and reporting Monitor and manage key performance metrics, including value of new business (VNB), embedded value (EV), and product profitability Collaborate with business stakeholders to understand requirements and support strategic decision‑making Identify opportunities for process optimisation, automation, and innovative actuarial solutions Ensure adherence to regulatory requirements, governance frameworks, and professional actuarial standards Provide coaching, mentoring, and technical guidance to junior analysts, contributing to team capability development Job Experience and Skills Required: Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field Nearly / Newly Qualified Actuary (minimum 12 exams) Experience: 3+ years actuarial experience within the financial services or insurance industry (Essential) Skills: Strong actuarial modelling and analytical capability Experience with pricing, profitability, and experience analysis Excellent documentation and process governance skills Ability to translate technical results into clear business insight Strong stakeholder engagement and communication skills Coaching and mentoring capability #J-18808-Ljbffr