The Exposure Management team is embedded in the Convex Analytics function and seeks to create a competitive advantage through industry-leading decision making enabled by comprehensive data and cross-functional analytics. In this position, you will take ownership of the natural catastrophe, insurance part of our portfolio, managing two team members and reporting to the Head of Nat Cat Exposure Management. Using exposure and catastrophe vendor models, you will liaise regularly with the third-party modelling team, ensuring queries are answered, processes are followed and providing help and guidance where needed. You will ensure the integrity of the output and work towards continual improvement of processes. Engaging actively with the Underwriters and senior stakeholders, you will bridge the gap between underwriting and the third-party modelling team, resulting in increased transparency of modelling and analytics. Key Responsibilities Maintaining an excellent relationship with the third-party modelling team and providing ongoing guidance. Peer reviewing third party output, providing teaching and recommend improvement strategies where necessary. Operate as a trusted partner to the Underwriters providing insight and responding to queries. Supporting the Head of Nat Cat to ensure accurate and timely completion of daily tasks relevant to a variety of insurance lines of business. Provide daily guidance and mentorship to more junior members of the team. Ensure compliance with regulatory requirements. Provide insight for internal and external reporting requirements. Thought leadership for continuous improvement of the Exposure Management function. Participate in ongoing projects, often in collaboration with the wider Analytics team. Skills Knowledge and Expertise Several years of experience within the non-life, London Specialty insurance market as a Natural Catastrophe Modeller and/or within Exposure Management. Deep understanding of a vendor catastrophe model for insurance. Verisk/AIR experience would be an advantage but not essential. A good grasp of, and opinion on, the insurance market, insurance modelling complexities and catastrophe model methodology. Highly analytical and a graduate in a scientific or numerate subject. Articulate with a demonstrated ability to explain complex data and ideas to a varied audience. Team player who identifies with the Convex values. Proficient in SQL / R/ Python or other coding languages. Benefits Competitive Salary 30 days Annual Leave Birthday Leave 10% Employer Pension Contribution Private Health Insurance Medical Cover Group Income Protection Life Assurance Cover Enhanced Parental Leave Annual Health Check 3 days of Volunteer Leave each year 10 days of help with care (elder/ childcare) through Bright Horizons £1,300 to spend on learning & wellbeing Give as You Earn Cycle to Work Season Ticket Loan