Company 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.
Job Description
Key Responsibilities
- Develop Key Performance Indicators (KPIs) to improve profitability, monitor volatility, and facilitate portfolio optimization.
- Design, evaluate, and select optimal financial methodologies to ensure consistency in catastrophe modelling outputs.
- Provide technical and mathematical guidance to the accumulation management team.
- Support both internal and regulatory reporting requirements related to catastrophe accumulation management.
- Assess catastrophe reinsurance protection and contribute to the optimization of program structures.
- Generate insights on projected catastrophe exposure to inform financial planning processes.
- Supply catastrophe accumulation data to the economic capital team and other stakeholders as needed
- Lead innovative initiatives within accumulation management.
Work Experience Required:
- 2-5 years relevant experience in catastrophe modelling.
- Strong mathematical and/or computer science background.
- Proficiency in catastrophe modelling tools (e.g., RMS Risk Modeler, AIR Touchstone).
- Experience with an object orientated programming language.
- Experience with writing SQL scripts.Preferred:
- Experience using RMS HD models and/or AIR Touchstone.
- R experience preferred, but Python also considered.
- Experience in using different loss tables (ELT, YLT, PLT); and writing scripts to calculate statistics such as EP curves.
- Experience writing SQL stored procedures.
- Experience in treaty modelling.
Qualifications
Bachelor’s or higher degree in Mathematics, Statistics, Actuarial Science, Computer Science, Physics, or a related field.
