P&C; Pricing Modeling - GLM - 5+ Years - Gurgaon

P&C; Pricing Modeler - Personal Lines (GLM & ML) role focused on developing, refining, and maintaining pricing and risk models for P&C; insurance products using GLMs and machine learning techniques, with a focus on personal lines auto and homeowners.

Location - Gurgaon.

Your Future Employer - A leading operations management and analytics organization delivering data-driven solutions across insurance, healthcare, banking, capital markets, utilities, retail, travel, transportation, and logistics.

Responsibilities -

1. Develop, refine, and maintain pricing and risk models for P&C; insurance products using Generalized Linear Models (GLMs) and machine learning techniques, with a focus on personal lines auto and homeowners.
2. Build end-to-end modeling pipelines covering data preparation, feature engineering, variable selection, model fitting, validation, and performance monitoring on large policy and claims datasets.
3. Apply machine learning methods such as GBMs (XGBoost/LightGBM), random forests,



and penalized regression alongside traditional GLMs.
4. Support rate reviews and regulatory filings by producing model documentation, exhibits, and defensible explanations of model structure and variable effects.
5. Conduct competitive analysis and market research to keep pricing models aligned with market trends, loss cost developments, and regulatory changes.
6. Design and enhance pricing tools, model deployment workflows, and analytical assets to streamline and automate pricing processes.

Requirements -

1. Bachelor's/Master's degree in engineering, economics, mathematics, actuarial science, statistics, data science, or a related quantitative field.
2. 5-10 years of pricing/modeling experience in the P&C; insurance industry, with hands-on model development ownership.
3. Solid experience building GLMs for pricing or risk segmentation, including frequency/severity, pure premium, and loss ratio models.
4. Proven experience app

📌 P&C Pricing Modeling (Gurugram)
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