Assistant Manager- Model Validation (CAT Modeling)

Job Overview: As a candidate for the role, you will be expected to understand the basics and principles of cat modeling and outputs such as exposure, hazard, geocoding, vulnerability, and financial models. You should possess knowledge of using one or more cat modeling software like RMS, AIR, IF, etc. Your tasks will involve running and analyzing QBE exposures on various modeling software tools such as Risk Modeler, AIR Touchstone, and ELEMENTS based on project requirements and business needs. Additionally, you will be required to comprehend different model profile settings, conduct sensitivity tests, and extract and report results. Understanding the client's exposure and risk perspective to facilitate informed decision-making and becoming familiar with in-house tools will also be part of your responsibilities. Responsibilities: In this role, your responsibilities will include but not be limited to: - Performing model validation and offering recommendations on model usage or necessary adjustments. - Collaborating with internal teams and external data providers to analyze data, including scientific information, claims, and insured exposure. - Contributing to and leading Group projects when necessary, while interacting with various teams globally. - Generating customized reports on exposure and modeled results. - Evaluating re/insurance pricing for individual accounts and product classes. - Analyzing catastrophe reinsurance structures and strategies to support reinsurance placements. - Assisting in analyzing real-time events and extracting insights from post-event reviews. Qualifications and Experience: To be successful in this role, you should possess the following qualifications and experience: - A postgraduate or undergraduate degree, preferably in a quantitative, scientific, or environmental discipline. - Strong analytical and numerical skills to analyze large datasets effectively. - Experience working with re/insurance catastrophe data and/or catastrophe modeling software. - Excellent written and verbal communication skills with the ability to explain technical concepts clearly. - Proactive attitude towards identifying inefficient processes and developing improvements. Desirable Requirements: Additionally, having the following qualifications would be desirable: - Knowledge of commercial insurance and/or the catastrophe modeling industry. - Sound working knowledge of RMS/AIR and other vendor modeling platforms. - Coding experience in a relevant language such as SQL, VBA, R, or C#. - Experience in using mapping software like GIS. Qualifications: A degree in Mathematics, Applied Mathematics, Statistics, Engineering, or Actuarial Science would be beneficial for this role.,