Actuarial General Insurance Pricing

About the Position

Actuarial General Insurance Pricing - Gurgaon/Bangalore (REF80651O)

We are seeking actuarial professionals to join our team. This role will be pivotal in leading statutory forecasting, supporting reinsurance transactions, and shaping valuation methodologies for new product development and regulatory changes. The ideal candidate will possess deep expertise in US/ UK Statutory frameworks, actuarial modeling, risk, and cross-functional collaboration.

Responsibilities

• Lead statutory forecasting and support reinsurance transactions.
• Shape valuation methodologies for new product development and regulatory changes.
• Collaborate with cross-functional teams to deliver actuarial solutions.

Requirements

General Requirements

• Solid foundation in mathematics, probability, and statistics.
• Understanding of commercial insurance business.
• Knowledge of underwriting processes and insurance pricing methodologies (both traditional and innovative).

Mandatory Requirements

• Hands-on experience in pricing for both short-tail and long-tail classes of commercial insurance (e.g., property and liability lines).
• Experience in pricing model development using exposure and experience rating methodologies.
• Strong understanding of loss development factors (LDFs), increased limit factors (ILFs), and loss curves.
• Ability to analyze, review, and adjust ILF/loss curves, including impact analysis.
• Experience in building pricing tools/raters using Excel or Rulebook.
• Proficiency in frequency, severity, and loss cost modeling.

Nice to Have

• Expertise in Excel formulas and VBA skills to build user-friendly features in pricing tools.
• Experience in performing actuarial analysis such as Claims experience Study, LDF analysis, ILF analysis.
• Experience in reviewing Rate Adequacy of Portfolio, performing model reviews, and proposing rate changes on a yearly basis.

We Offer

• Competitive salary
• Opportunity to work with a leading global company
• Professional development and growth opportunities

About the Company

WNS, part of Capgemini, is an Agentic AI-powered intelligent operations and transformation company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS’ core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly, and lead resiliently in a world defined by disruption.

Our purpose is clear: Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact.

WNS’ Actuarial Services team seamlessly collaborates with clients’ staff actuaries across life & annuities and property & casualty insurance businesses, offering a range of actuarial services. Data preparation and database management, financial and actuarial model-building, maintenance, validation, and testing, actuarial production support, transformation projects are some of the services we offer. In addition to actuarial support services, we are also enabling automation of various processes within our clients’ actuarial function, bringing greater insights through in-depth technical analyses, and standardizing processes to improve efficiency and eliminate inconsistencies. This helps in-house actuarial resources focus on more complex actuarial tasks that involve developing and validating strategies for superior decision-making. Our services enable insurers to expand the scope for their actuarial calendar by staffing a full team of budgeted actuaries at an affordable cost, leading to a lower attrition rate and higher job satisfaction.

Job Location

• Gurgaon, India
• Bangalore, India

Additional Information

• Familiarity with actuarial tools such as EMBLEM/RADAR.
• Experience with data mining or statistical tools such as SAS, R, or Python.
• Knowledge of automation techniques using VBA macros.
• Background in ST-8 (General Insurance Pricing) from Actuarial Science curriculum.
• Experience in Generalized Linear Models (GLM) for frequency and severity modeling.

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