WNS Global Services
Location
Gurgaon | India
Job description
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 Underwriting process and Insurance pricing methodologies (Conventional and Innovative approaches)
Mandatory Requirements:
Work experience in Pricing for both short tail and long tail classes of commercial insurance business (eg. property and liability lines)
Work Experience on pricing modelling using Exposure and Experience rating methodologies
Should have in-depth knowledge in determining LDFs of portfolio, using ILFs and Loss Curves
Should be able to analyse the ILF curves/Loss curves, review them, make adjustments and perform impact analysis
Should have built pricing tools/ raters on Excel or Rulebook
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 SAS/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
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
Exposure to 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 AWS, SAS and Willis Towers Watson modeling software preferred.
Working knowledge of P&C insurance marketplace in the United States and the Independent Agent channel specifically.
Including an understanding of best practices and the competitive landscape.
Job tags
Salary