Senior Python Insurance Pricing & Hyperexponential (hx) Specialist

This is a remote position.

Overview :

We are seeking a highly skilled Python‑centric Insurance Pricing Specialist with strong expertise in Hyperexponential (hx) platforms and deep experience in insurance pricing, exposure modeling, and portfolio analytics. This role will focus on developing, validating, and operationalizing advanced pricing models using Python and hx, supporting underwriting, actuarial, and pricing modernization initiatives across Property & Casualty insurance portfolios. Key Responsibilities

Develop, enhance, and operationalize insurance pricing and exposure models using Python and Hyperexponential (hx) platforms (hx Pricing / hx Renew). Build Python‑based data pipelines and analytical workflows to process large‑scale insurance datasets, including policy, exposure, claims, and rating variables. Perform exposure analysis, loss cost modeling, and segmentation across multiple lines of business (Personal and/or Commercial Lines). Support model calibration, validation, back‑testing, and monitoring, ensuring statistical robustness and regulatory transparency. Translate actuarial and underwriting requirements into scalable Python-driven analytical solutions integrated with hx models. Work closely with actuarial, underwriting, and data engineering teams to support pricing strategy evaluations and rate change impact analysis. Integrate pricing outputs into downstream systems such as rating engines, policy administration platforms, and reporting tools. Create clear technical documentation and explain model drivers, assumptions, and outcomes to business and regulatory stakeholders. Required Skills & Experience