Catastrophe Modeller

Job description Key Responsibilities: Data Management and Mapping: Prepare portfolio data with insurance and/or reinsurance terms. Manage data mappings between policy systems and modelling systems. Ensure data quality and integrity in the modelling system. Probabilistic Loss Estimation: Generate probabilistic loss estimates using AIR Touchstone. Analyze exposure and loss summaries to understand loss drivers. Model Evaluation and Event Response: Work on various model evaluation projects to assess model performance and accuracy. Participate in event response activities, including analyzing catastrophe events and their impact on portfolios. Process Improvement and Upskilling: Take initiatives to add value to the modelling process and improve the quality of loss estimation. Continuously upskill in advanced catastrophe modelling concepts and stay updated on new technologies in the field. Stakeholder Management: Manage relationships with internal and external stakeholders, ensuring effective communication and alignment of project goals. Handle ambiguity in complex scenarios and provide clarity in decision-making. Problem Solving and Multitasking: Tackle complex problems related to catastrophe modelling and loss estimation. Manage multiple tasks and projects efficiently in a dynamic environment. Skills & Qualifications: Technical Skills: AIR CEDE Database Schema: Intermediate to advanced knowledge in manipulating tables and automating tasks through the backend. Statistics: Intermediate to advanced knowledge in statistical techniques, simulation methodologies, AAL (Average Annual Loss), PML (Probable Maximum Loss), and TVAR (Tail Value at Risk) calculations using SQL. Insurance and Reinsurance Terms Coding: Intermediate to advanced understanding of insurance/reinsurance terminology and coding. Event Response: Intermediate to advanced knowledge and experience in responding to catastrophe events and their modeling. SQL: Intermediate to advanced, including dynamic stored procedures for database manipulation. Excel: Intermediate to advanced, including proficiency in VBA for automating tasks and analyses. Programming Skills: Proficiency in Python (preferred, but not required). GIS Tools (QGIS/ArcGIS): Intermediate to advanced knowledge of Geographic Information Systems for mapping and analyzing catastrophe data. Soft Skills: Stakeholder Management: Ability to manage relationships and communicate effectively with internal and external stakeholders. Problem Solving: Strong analytical skills to solve complex problems. Multitasking: Ability to manage multiple projects and deadlines in a fast-paced environment. Dealing with Ambiguity: Comfort in working in ambiguous situations and providing clarity. Education & Experience: Graduate/Post-Graduate degree in a Quantitative Discipline (Mathematics, Statistics, Economics, Engineering, or related fields). Experience in catastrophe modelling or insurance/reinsurance is a plus. Preferred Qualifications: Experience with AIR Touchstone software and catastrophe modelling. Familiarity with data automation, statistical simulation, and risk analysis. Experience working with large datasets and performing advanced analyses. Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills SQL GISArcGISQGISData ManagementAIR TouchstonePython