Assistant Manager - RNA

Company 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.

Job Description

Role: Pricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial InsuranceBusiness 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 methodologiesShould have in-depth knowledge in determining LDFs of portfolio, using ILFs and Loss CurvesShould be able to analyse the ILF curves/Loss curves, review them, make adjustments and perform impact analysisShould have built pricing tools/ raters on Excel or RulebookShould have knowledge on Frequency, Severity modelling and Loss cost modellingAdditional good to have requirements: Knowledge of Actuarial tools (EMBLEM/RADAR), data mining tools like SAS/R/Python, automation using VBA macrosKnowledge of ST-8 General Insurance Pricing Actuarial science would be preferableWork experience on GLM modelling – Frequency and Severity Screening parameters: Work experience in General Insurance PricingKnowledge 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 PricingExposure to Pricing Modelling (Frequency & Severity modelling) using– Emblem/R/SAS/Python

Qualifications

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.