Job Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Directly lead an experienced team of several catastrophe modelers to prioritize deliverables and key projects to be completed.Establish and cultivate strong relationships with internal and external stakeholders to deliver timely, insightful, and actionable catastrophe analytics.Update management on current technical and industry trends related to cat modeling.Critically assess accuracy and performance of the catastrophe models. Work with various stakeholders in implementing models’ enhancements specific to the niche products.Research, develop, and present critical insights and new ways to understand the portfolio in addition to pre-existing measurements and techniques.Educate various stakeholders regardless their area of expertise on cat management topics.Communicate the impact of the emerging catastrophe modeling tools to management.Manage the model changes from technical and analytical perspective. Communicate the impact on the company risk appetite, reinsurance purchasing needs and pricing Primary InsuranceManage regular catastrophe roll-up process and reporting of the various lines/units of business. Engage various stakeholder’s counterparts to communicate the unit results.Perform and lead Quarterly Portfolio aggregation modeling and reporting of risk metrics including reasoning of Quarterly and Yearly changes in Exposures and AAL/PMLIndependently supervise and perform complex catastrophe modeling analyses. Translate the modeling output into actionable recommendations to enhance underwriting and pricing models.Conduct Ad hoc analyses of issues related to Catastrophe and book management.Assess exposure data quality and its impact on cat management results. Continuously work on improving quality of the modeling data utilizing both internal and third-party data sources.Identify and lead automation opportunities of routine processes and workflows to enhance productivity and service levels.ReinsuranceLead Reinsurance modeling team that provides support to the Underwriters across different offices with assessing the Catastrophe PML risk and Expected Losses on modeled basis for multiple cedants with exposures spread across the globe.Guide the modeling team in assessing the Vendor Model changes on the Reinsurance portfolio and other change management requests.Liaise with the stakeholders on a continuous basis to evaluate and incorporate process enhancements.

Qualifications

Expert knowledge of RMS catastrophe models. Knowledge of AIR, RQE , any other models is a plus.15+ years of experience in catastrophe modeling of large property portfolios using RMS or AIR products. Experience in working with high value properties is preferred.7 years’ management experience with proven record of leading a sizeable team successfully.Expert level skills with manipulating large complex datasets including advanced knowledge of SQL, MS Excel and Access products and MS SQL server.Excellent critical thinking, analytical and problem-solving skills strengthened by the ability to effectively plan and manage multiple projects.Excellent written and verbal communication skills, with the ability to simplify and communicate highly specialized and technical concepts to business leaders.Knowledge of geospatial products and techniques is a plus.Data visualization and business intelligenceBachelor’s degree (or equivalent) in mathematics, geography, engineering, or other like areas.Previous managerial experience preferredEngineering or advanced degree in Mathematics, Statistics or MBA. Professional certificates like ARe, CPCU, CCRA etc. are advantageous.Expertise in Data Analytics/Insurance/Reinsurance/Modeling.Proficiency in Data Analytics tools like R, Python would be a plus.