REF41753W - Actuarial - General Insurance - Commercial Pricing

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: Pricing General

Requirements:

Knowledge of mathematics, probability, statistics and Commercial Insurance business.

Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches)

Mandatory Requirements:

Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies.

Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools.

Should have built pricing tools/raters on Excel.

Should have knowledge on Frequency, Severity modelling and Loss cost modelling.

Additional good to have requirements:

Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros

Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable

Work experience on GLM modelling – Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage.

Screening parameters:

Work experience in General Insurance Pricing

Knowledge on Pricing – Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves)

Cleared or appeared for Actuarial Science exam- ST-8: General Insurance Pricing

Modelling (Frequency & Severity modelling) using– Emblem/R/SAS/Python

Proficient in predictive analytics methodology and its use in the insurance industry.

Experienced in use of R, Python, and other open-source languages.

Familiarity with Willis Towers Watson modeling software preferred.

Working knowledge of P&C insurance marketplace.

Knowledge and understanding of best practices and the competitive landscape.