WNS (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.
Job Description• 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.
Qualifications• Degree in Mathematics, Applied Mathematics, Statistics, Engineering, or Actuarial Science