Job description Purpose of the Role The Actuarial Specialist will be primarily responsible for building and validating actuarial models using Python, ensuring they meet detailed business specifications. The role requires a blend of technical programming skills and actuarial expertise, particularly in the pensions and protection domain. You will collaborate with product, development, and project teams to deliver accurate and scalable solutions to our clients. Key Responsibilities Develop Python-based actuarial models for pensions and protection products. Translate complex actuarial calculations into well-structured system specifications. Rigorously test and validate models to ensure they align with business requirements. Use SQL, Excel, and other tools for validation, data analysis, and model auditing. Maintain and enhance existing calculation systems and models. Collaborate with internal teams (Analysts, Developers, Product Managers) to deliver end-to-end solutions. Contribute actuarial input to business and system change initiatives. Support client-facing projects, including implementation, UAT, and post-deployment updates. Required Qualifications and Skills Technical Skills: Proficiency in Python (modelling, scripting, automation). Good working knowledge of SQL and Excel for data handling and validation. Experience with actuarial modelling concepts and principles. Ability to interpret and apply actuarial specifications to system design. Educational Background: Degree in Actuarial Science, Mathematics, Statistics, Computer Science or a closely related field. A-level Mathematics (Grade A*–A or equivalent). Progress toward actuarial qualifications (e.g., IFoA) is desirable. Desirable Knowledge: Familiarity with VBA and Microsoft Office Suite. Exposure to in-house actuarial or insurance software platforms. Knowledge of AI/ML techniques and their application in insurance or actuarial modelling is a plus. Personal Attributes Strong analytical and problem-solving skills. High attention to detail and commitment to model accuracy. Self-motivated with a proactive approach to learning and development. Excellent communication and documentation skills. Collaborative team player with the ability to work with both technical and non-technical stakeholders. Adaptable and resilient in a dynamic, project-oriented environment. Show more Show less

Cat Risk Modeller with strong experience in Insurance Industry. 6 months contract Key Accountabilities Understanding the Risk Modeler application of Moody's RMS. To support end-to-end Cat modelling/data capture processes, maintaining up-to-date documentation. Ensure clients exposure data standards are well understood by Underwriting and actively monitored. To report and make data quality recommendations highlighting areas for improvement of AInsurCo clients. To drive process efficiencies by embedding technology, most notably Terra, within AInsurCo clients. To maintain an appropriate level of modelling resource, internal and external, to support clients To make risk level recommendations to drive Underwriting margin . To produce the monthly modelled rollup for the multiple product lines. To ensure excellent Cat modelling service levels and accuracy for all Natural Catastrophe product lines. Communications: To assist in aligning modelling geographies, ensuring a globally consistent approach. To pro-actively engage with multiple stakeholders. Skills/Competencies Influencing skills – engaging and credible style, capable of building trust and respect within a matrix environment. Adapts style to suit cultural and environmental differences. Leadership – high level of enthusiasm and vision with which to inspire others. Analytical skills – leverages data and analytics to create actionable insight to improve performance. Creative self-starter – dynamic and driven, formulates new concepts, challenges the status quo. Collaborative – establishes excellent relationships, brings people closer together, a team player. Commercial acumen – synthesises analytical skill with commercial insight. Results orientated – consistently delivers results. Organisational skills – consistently delivers tasks and meets deadlines. Qualifications Excellent academic qualifications including a minimum 2:1 degree Strong mathematical, modelling, technical background. Insurance qualifications are desirable. Technical Skills & Experience Minimum 3/4 year’s catastrophe modelling experience. Experience of RMS vendor Model. Previous experience of exposure management of D&F portfolios in the UK market. Experience of / proficiency in the use of mapping / analytical software, QGIS, Spatial Key etc. desirable. Must be proficient in Excel and the use of SQL. Additional programming skills, VBA, Python/R, an advantage.

Job description Purpose of the Role The Actuarial Specialist will be primarily responsible for building and validating actuarial models using Python, ensuring they meet detailed business specifications. The role requires a blend of technical programming skills and actuarial expertise, particularly in the pensions and protection domain. You will collaborate with product, development, and project teams to deliver accurate and scalable solutions to our clients. Key Responsibilities Develop Python-based actuarial models for pensions and protection products. Translate complex actuarial calculations into well-structured system specifications. Rigorously test and validate models to ensure they align with business requirements. Use SQL, Excel, and other tools for validation, data analysis, and model auditing. Maintain and enhance existing calculation systems and models. Collaborate with internal teams (Analysts, Developers, Product Managers) to deliver end-to-end solutions. Contribute actuarial input to business and system change initiatives. Support client-facing projects, including implementation, UAT, and post-deployment updates. Required Qualifications and Skills Technical Skills: Proficiency in Python (modelling, scripting, automation). Good working knowledge of SQL and Excel for data handling and validation. Experience with actuarial modelling concepts and principles. Ability to interpret and apply actuarial specifications to system design. Educational Background: Degree in Actuarial Science, Mathematics, Statistics, Computer Science or a closely related field. A-level Mathematics (Grade A*–A or equivalent). Progress toward actuarial qualifications (e.g., IFoA) is desirable. Desirable Knowledge: Familiarity with VBA and Microsoft Office Suite. Exposure to in-house actuarial or insurance software platforms. Knowledge of AI/ML techniques and their application in insurance or actuarial modelling is a plus. Personal Attributes Strong analytical and problem-solving skills. High attention to detail and commitment to model accuracy. Self-motivated with a proactive approach to learning and development. Excellent communication and documentation skills. Collaborative team player with the ability to work with both technical and non-technical stakeholders. Adaptable and resilient in a dynamic, project-oriented environment.