Company DescriptionWNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.Job DescriptionThis position is responsible for catastrophe modelling and exposure management services for all (Re) Insurance books of the company. These services will include, but are not limited to, data preparation, account modelling and portfolio roll-ups and reporting, exposure management and other ad-hoc modelling activities. The ideal candidate should be able to understand property and casualty insurance industry terminology and have prior experience working with AIR, RMS, Impact Forecasting and any other catastrophe models. Additionally, this role requires implementation of new tools, development of new cat pricing workflows and methodologies while working with wider Cat Modelling team to find innovative efficient solutions to current processes. This position will be based in our Gurgaon office with a hybrid schedule of working.Qualifications
Bachelor’s Degree in Mathematics, Applied Mathematics, Statistics, Operations Research, or Actuarial Science
