Assistant Manager - RNA

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.