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.

The Senior Actuarial Analyst will support Prophet modelling initiatives, contributing to actuarial valuation, risk, Data cleanup processes. The role involves hands-on model development, testing, analysis, and documentation, working under established governance frameworks to ensure accuracy, transparency, and regulatory compliance.

Key Responsibilities

Develop, maintain, and enhance Prophet Models to support valuation activities.

Interpret and validate data, assumptions, application codes, and model outputs, providing clear explanations and documentation.

Perform integration of models and developments.

Perform model testing, including reconciliation, sensitivity testing, and scenario analysis.

Assist in production runs and ensure timely and accurate delivery of actuarial results.

Support model documentation, change management, and audit or validation reviews.

Collaborate with cross-functional teams (finance, risk, IT, and business) to support business and regulatory requirements.

Contribute to continuous improvement of modelling processes and controls.

Skills

Working knowledge of Prophet or other actuarial modelling software (e.g., IGGY Axis, MG-ALFA, or similar).

Understanding of life insurance products and core actuarial principles.

Proficiency in Excel and VBA; familiarity with SQL or Python/DCS for data handling is an advantage.

Strong analytical, problem-solving, and numerical skills.

Ability to explain technical results clearly to both actuarial and non-actuarial stakeholders.

Good documentation and report-writing skills.

Competencies

Strong attention to detail and accuracy in model development and analysis.

Ability to analyze complex datasets and interpret actuarial results.

Effective teamwork and communication skills.

Willingness to learn and adapt to changing regulatory and business requirements.

Ability to manage multiple tasks and meet deadlines.

Qualifications

3–6 years of relevant work experience in actuarial modelling or valuation.

Bachelor’s or Master’s degree in Actuarial Science, Statistics, Mathematics, or Economics.

Progress toward actuarial qualification with 3–6 actuarial exams from IAI or IFoA.

Exposure to actuarial model development, valuation processes, and reporting across one or more lines of business.

Graduate