WNS - Predictive Analytics Role

Predictive Analytics

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

Qualifications:

- 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.