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.

Role Description:

• Catastrophe Modelling Consultant in the Accumulation Management department, working with the Technical Solutions team

• The Technical Solutions team is focussed 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

Primary 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• Undergraduate degree, preferably in quantitative or IT discipline (e.g. Mathematics, Natural Science, Engineering, Actuarial, Computer Science