
10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
WNS is a global business process management company that operates across 13 countries with over 66 delivery centers and employs more than 62,000 people. The organization is committed to inclusivity and diversity, fostering a unique culture of co-creation and continuous learning. WNS offers various career opportunities across the Asia Pacific, Europe, Africa, and the Americas, and prides itself on its transparent and merit-based recruitment process. As a leader in its field, WNS focuses on nurturing future leaders and decision-makers while maintaining a strong emphasis on social responsibility through initiatives like the WNS Cares Foundation.
🔥 3 hours ago
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10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
WNS is a global business process management company that operates across 13 countries with over 66 delivery centers and employs more than 62,000 people. The organization is committed to inclusivity and diversity, fostering a unique culture of co-creation and continuous learning. WNS offers various career opportunities across the Asia Pacific, Europe, Africa, and the Americas, and prides itself on its transparent and merit-based recruitment process. As a leader in its field, WNS focuses on nurturing future leaders and decision-makers while maintaining a strong emphasis on social responsibility through initiatives like the WNS Cares Foundation.
• Design, develop, test, and maintain actuarial tools and models using various programming languages to automate processes • Identify opportunities for process improvement and automation within actuarial functions • Work with large datasets, ensuring data integrity and effective visualization for actuarial insights • Provide technical support and troubleshooting for existing actuarial tools and applications • Collaborate with actuarial teams, IT, and other stakeholders to gather requirements and ensure successful project delivery • Create and maintain comprehensive technical documentation for developed tools and processes • Stay abreast of emerging technologies and best practices in coding, data science, and actuarial science to drive continuous improvement
• 3-4 years of professional experience in software development, programming, or data analysis roles • Demonstrated expertise in at least two of the following programming languages: Python, VBA, R, SQL • Strong analytical and problem-solving skills with the ability to translate complex actuarial concepts into technical solutions • Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Actuarial Science, or a related quantitative field
• Flexible work arrangements • Professional development opportunities
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