Requirements :

• Knowledge of mathematics, probability, statistics and Commercial Insurance business.
• Knowledge of Insurance process(es) and pricing methodologies
• 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.
• 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.
• 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
• 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.