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3.0 - 7.0 years

3 - 7 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

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Pricing General Requirements: Knowledge of mathematics, probability, statistics, and Commercial Insurance business Knowledge of Insurance process(es) and pricing methodologies (conventional and innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (e.g., property LOB) Work experience on pricing modelling using Exposure and Experience rating methodologies In-depth knowledge in pricing methodologies using EMBLEM and RADAR tools Experience building pricing tools/raters on Excel Knowledge of Frequency, Severity modelling and Loss cost modelling Additional Good-to-Have Requirements: 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 Work experience on GLM modelling - Frequency and Severity Work experience on Impact Analysis using Radar tool 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 Modelling (Frequency & Severity modelling) using - Emblem/R/SAS/Python 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 Willis Towers Watson modeling software preferred

Posted 2 days ago

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Actuarial - GI - Pricing - Deputy Manager - RNA Vuram

3.0 - 7.0 years

3 - 7 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

Foundit logo

Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (e.g. 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 Additional good to have requirements: 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 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 Modelling (Frequency & Severity modelling) using - Emblem/R/SAS/Python 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 Willis Towers Watson

Posted 2 days ago

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