7 Catastrophe Modelling Jobs

As the Senior Vice President of Catastrophe Modelling & Exposure Management, you will play a crucial role in leading the service delivery, capability growth, P&L management, and digital transformation for our analytics business. Reporting to the EVPData & Analytics, you will oversee multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics for global insurance clients. Your responsibilities will include ensuring consistent service standards, client satisfaction, and strategic planning with clients to achieve growth objectives. You will be responsible for defining and implementing the CAT and exposure analytics strategy to align with company growth and market trends. Promoting a culture of experimentation and hypothesis-driven solutions within analytics teams, you will establish centers of excellence for specific risk areas and expand analytics coverage to include underwriting, claims, and portfolio management. Additionally, you will lead initiatives focused on automation, AI integration, and digital workflow optimization to improve productivity and value for future requirements. In this role, you will have ownership of end-to-end planning, execution, and profitability for the business. Tracking revenue, optimizing costs, and ensuring delivery excellence across the entire portfolio will be key aspects of your responsibilities. Collaborating with technology and product teams, you will build scalable AI tools and IP assets, spearhead business automation, and lead initiatives to minimize manual intervention and accelerate turnaround times. With over 18+ years of experience leading global delivery, analytics, and technology teams in P&C insurance, you will bring expertise in catastrophe modeling, exposure management, actuarial analytics, data engineering, and transformation. Your strategic thinking, experience in distributed team management, and proficiency in catastrophe modelling software will be instrumental in driving the success of our analytics business. To excel in this role, you should have a Master's degree in Mathematics, Statistics, Actuarial Science, Financial Management, or a related field, with at least 15 years of experience in catastrophe modelling or exposure management. Strong analytical and problem-solving skills, demonstrated leadership ability, and excellent communication skills are essential. Professional certifications like CPCU, ACAS, or FCAS are advantageous. If you are interested in joining our team and have the required qualifications and experience, please share your CV at aishwarya@beanhr.com.,

Portfolio Modeling (3+ years experience in end-to-end portfolio rollups) Regulatory Reporting (4+ years experience in EDM/RDM/SCHEMA) Model Validation (4+ years experience in Model Validation with tools like RMS/AIR) Technical Solution (3+ years experience in SQL Query writing for CAT Modeling function) Portfolio Modeling Good understanding Cat Modeling process and workflows Run vendor catastrophe modeling platforms (primarily RMS, AIR, Elements) for insureds and perform portfolio risk analyses. Working knowledge of RMS model scope across worldwide peril-regions regarding sub-perils, amplification, etc. along with basic understanding of cat-modelling four-box principle concerning exposure, hazard, vulnerability modules and translation of insurance and (re)insurance financial terms through coding in RMS and SQL. Assist clients in the understanding of catastrophe risk of individual insured through analytics based on catastrophe model results. Provide analytical support to catastrophe modeling team operations by sharing knowledge and information Develop processes and scripts for process improvements Provide timely and frequent feedback to team members. Preparing MIS reports Training and mentoring of team members inducted in the pricing process. Assisting in monthly post bind and portfolio rollup activities. Ensure all SLAs are met Communication with onshore SPOCs at regular intervals. Regulatory Reporting Good understanding Cat Modeling process and workflows. Run vendor catastrophe modeling platforms (primarily RMS, AIR, Elements) including accumulation analysis for reporting needs, whenever required Thorough knowledge of RMS EDM-RDM schema Ability to understand the requirements of regulatory submissions and further deliver them accordingly Understanding of RDS scenarios of Lloyds including Non-Modelled scenarios as well Working knowledge regulatory reports like LCM, RDS Scenarios, Terror Accumulations & reporting. Working knowledge of any other regulatory reports. Working knowledge of RMS model scope across worldwide peril-regions regarding sub-perils, amplification, etc. along with basic understanding of cat-modelling four-box principle concerning exposure, hazard, vulnerability modules and translation of insurance and (re)insurance financial terms. Provide analytical support to catastrophe modeling team operations by sharing knowledge and information Develop processes and scripts for process improvements Assisting in portfolio rollup activities. Ensure all SLAs are met Communication with onshore SPOCs at regular intervals. Model Validation: Perform model validation and provide recommendations on model use and/or required adjustments. Work with internal teams and external data providers on analysis, utilising available data including scientific information, claims and insured exposure Contribute to and lead Group projects as required, liaising with other teams globally. Produce customised reports on exposure and modelled results. Evaluate re/insurance pricing for individual accounts and product classes. Analyse catastrophe reinsurance structures and strategies to support reinsurance placements. Assist with the analysis of real time events and identify learnings from post-event reviews. Strong analytical and numerical ability, in order to interrogate large datasets Experience of working with re/insurance catastrophe data and/or catastrophe modelling software Excellent written and verbal communication skills, and the ability to explain technical concepts clearly Intermediate/Advanced Excel skills Pro-active attitude to identifying inefficient processes and developing improvements Desirable Requirements Knowledge of commercial insurance and/or the catastrophe modelling industry Sound working knowledge of RMS/AIR and any other vendor modelling platforms Coding experience in a relevant language (e.g. SQL, VBA, R, C#) Experience in using mapping software (e.g. GIS) Technical Solution (SQL query): Catastrophe Modelling Analyst in the Accumulation Management department, working with the Technical Solutions team The Technical Solutions team is focused on developing customized in-house tools and databases for the Accumulation Management team, to streamline processes and organize data in an efficient manner Technical role with large potential for growth in responsibilities Develop an understanding of existing Catastrophe Modelling processes, licensed software, and the various in-house tools used to automate processes Maintain existing Accumulation Management tools. Debug errors in the code when users experience issues Assist users with technical questions. Explain how tools work and deliver training sessions when required Test new functionality prior to launch to ensure that tools are working as intended Support team to design and develop new tools to automate processes. Update user guides when needed Work with colleagues around the globe on ad-hoc projects Qualifications Bachelor s Degree in Mathematics/ Applied Mathematics/ Statistics/ Operations Research/ Actuarial Science

3 -6 years of relevant experience as analysts for a computational analytics company or catastrophe modeling Thorough understanding and hands on experience with relational databases such as MS-SQL, with ability to mentor and train others Experience with large data sets analysis and manipulation Experience with statistical, mathematical software packages like R/Python; or generally with analytical software; Good working knowledge in MS Excel; Ability to process geo-spatial data using the standard GIS software, such as QGIS, ArcGIS, etc.Ability to identify patterns and make thorough observations out of numerical data sets and draw mathematical relationships out of it Experience with designing and /or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc. Programming skills to include numerical, scientific and databases programming Proven analytical and problem-solving quantitative abilities Excellent attention to detail and experience working in distributed and global teams with diverse cultural backgrounds Superior verbal and written communication skills, to interface with cross-functional teams that are talented, culturally diverse, global and widely varying technical skill sets Knowledge of product development life cycles to ensure the critical role of quality assurance teams Logical and clear thinker having made sound process driven decisions Multitasking ability with focus on accuracy and efficiency.

Are you passionate about solving complex risk challengesDo you thrive in a fast-paced environment where data-driven insights influence multi-million-dollar decisionsThis critical role involves evaluating and pricing transactions, documenting pricing assumptions, mentoring actuarial talent, and contributing to the development of cutting-edge pricing solutions. You will play a key role in managing pricing parameters, supporting new product development, and participating in the development of a fast-growing Casualty ILS market. Key Responsibilities: Evaluate and price collateralized casualty treaty reinsurance and retrocession deals. Document pricing assumptions and maintain consistency and transparency in pricing strategies. Update and refine pricing parameters, including loss trends, development factors, rate changes, and exposure curves. Foster a collaborative and growth-oriented environment. Lead efforts to maintain and enhance pricing tools and methodologies, leveraging advanced analytics and technology. Utilize advanced Microsoft Excel skills (including VBA, macros, and formula writing) to streamline processes and improve efficiency. Required Qualifications: Bachelors degree in Mathematics, Statistics, Actuarial Science, or a related field. 5+ years of actuarial experience, including in reinsurance pricing. ACAS (Associate of the Casualty Actuarial Society) or majority actuarial courses Strong attention to detail, communication skills, organizational skills, and ability to manage concurrent projects. Intermediate programming skills in Microsoft Excel, Python, R, or SQL.

Skilled Catastrophe Modelling Analyst with 2–3 years of experience in field of Cat modelling Exp in RMS RiskLink or AIR Touchstone, strong analytical capabilities, ability to work independently Deliver accurate modelling outputs for global clients Required Candidate profile Perform catastrophe risk modelling using RMS RiskLink or AIR Touchstone Analyze exposure data produce risk reports Work with large datasets, SQL MS-Office tools Ensure data accuracy model consistency Perks and benefits Perks and Benefits

Key Responsibilities: Develop, implement, and manage catastrophe modelling processes using platforms like RMS (must-have), AIR, Touchstone Re, etc. Collaborate with cross-functional teams on API integrations and functional implementations in the CAT modelling ecosystem. Execute and automate portfolio roll-up, risk aggregation, and CAT reinsurance modelling using tools such as RiskLink, RiskModeller, and IRP (Intelligent Risk Platform). Provide functional insights and domain expertise to support model implementation, scenario analysis, and reinsurance treaty structuring. Work with data engineers and modellers to ensure smooth flow of exposure data and analytics. Conduct validation, sensitivity testing, and performance analysis of catastrophe models. Prepare analytical reports, dashboards, and risk summaries for internal and client stakeholders. Contribute to the design of robust data pipelines and modelling processes aligned with reinsurance strategies. Mandatory Skills: RMS platform expertise (RiskLink, RiskModeller) must-have Functional experience in Catastrophe Modelling, Portfolio Modelling, and CAT Reinsurance Strong understanding of API-based implementations, functional roll-outs, and risk analytics Hands-on experience with IRP, AIR, Touchstone Re (any combination) Proficiency in portfolio aggregation, loss modelling, and event response workflows Solid understanding of insurance & reinsurance risk structures Preferred / Bonus Skills: Experience with Python, SQL, R, or data science-based modelling workflows Familiarity with cloud-based environments (e.g., Azure, AWS) Prior experience in building or enhancing catastrophe model automation pipelines Understanding of regulatory reporting related to risk (ORSA, Solvency II, etc.)

Key Responsibilities: Develop, implement, and manage catastrophe modelling processes using platforms like RMS (must-have), AIR, Touchstone Re, etc. Collaborate with cross-functional teams on API integrations and functional implementations in the CAT modelling ecosystem. Execute and automate portfolio roll-up, risk aggregation, and CAT reinsurance modelling using tools such as RiskLink, RiskModeller, and IRP (Intelligent Risk Platform). Provide functional insights and domain expertise to support model implementation, scenario analysis, and reinsurance treaty structuring. Work with data engineers and modellers to ensure smooth flow of exposure data and analytics. Conduct validation, sensitivity testing, and performance analysis of catastrophe models. Prepare analytical reports, dashboards, and risk summaries for internal and client stakeholders. Contribute to the design of robust data pipelines and modelling processes aligned with reinsurance strategies. Mandatory Skills: RMS platform expertise (RiskLink, RiskModeller) must-have Functional experience in Catastrophe Modelling, Portfolio Modelling, and CAT Reinsurance Strong understanding of API-based implementations, functional roll-outs, and risk analytics Hands-on experience with IRP, AIR, Touchstone Re (any combination) Proficiency in portfolio aggregation, loss modelling, and event response workflows Solid understanding of insurance & reinsurance risk structures Preferred / Bonus Skills: Experience with Python, SQL, R, or data science-based modelling workflows Familiarity with cloud-based environments (e.g., Azure, AWS) Prior experience in building or enhancing catastrophe model automation pipelines Understanding of regulatory reporting related to risk (ORSA, Solvency II, etc.)