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
1.3. Key Responsibilities
- Tool Development: Design, develop, test, and maintain actuarial tools and models using various programming languages (e.g., Python, VBA, R, SQL) to automate processes, enhance data analysis, and improve reporting capabilities.
- Process Transformation: Identify opportunities for process improvement and automation within actuarial functions, collaborating with actuarial teams to implement innovative solutions.
- Data Management: Work with large datasets, ensuring data integrity, efficient processing, and effective visualization for actuarial insights
.• Technical Support: Provide technical support and troubleshooting for existing actuarial tools and applications, ensuring their smooth operation.
- Collaboration: Work closely with actuarial teams, IT, and other stakeholders to gather requirements, provide technical guidance, and ensure successful project delivery.
- Documentation: Create and maintain comprehensive technical documentation for developed tools and processes.
- Continuous Improvement: Stay abreast of emerging technologies and best practices in coding, data science, and actuarial science to drive continuous improvement.1.4. Required Skills & Experience
- Experience: 3-4 years of professional experience in software development, programming, or data analysis roles, with a strong focus on coding and tool development
.• Programming Proficiency: Demonstrated expertise in at least two of the following programming languages: Python, VBA, R, SQL.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to translate complex actuarial concepts into technical solutions.
- Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Actuarial Science, or a related quantitative field
.1.5. Desired Skills
- Insurance Domain Knowledge: Prior experience or strong understanding of the insurance industry, including life, general, or health insurance products and actuarial concepts.
- Actuarial Qualifications: Progress towards actuarial qualifications (e.g., IFoA, SOA, IAI) is an advantage but not mandatory.
- Data Visualization Tools: Experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
- Cloud Platforms: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their services.1.6. Work Location & Model
• Locations: Gurgaon, Chennai, or Pune• Work Model: Hybrid (a blend of in-office and remote work, promoting flexibility and collaboration)
Qualifications
Graduate
