Remote Python Insurance Pricing & Hyperexponential Lead

Exavalu Solutions India Pvt Ltd; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Exavalu Solutions India Pvt Ltd seeks a Senior Python Insurance Pricing & Hyperexponential (hx) Specialist to lead pricing models in a remote capacity. You will develop Python pipelines, work with hx Pricing and hx Renew, and collaborate with actuarial, underwriting, and data engineering teams to improve pricing accuracy.

The role emphasizes exposure analysis, loss cost development, segmentation, and governance, with integration into rating engines and policy systems.

Qualifications

• Strong Python skills for data analysis, pricing workflows, and automation.
• Experience in insurance pricing, exposure modeling, and loss cost development.
• Hands-on with hx Pricing and hx Renew platforms and related APIs.
• Advanced SQL skills for large policy, exposure, and claims datasets.

Responsibilities

• Develop, enhance, and operationalize insurance pricing and exposure models using Python and hx platforms.
• Build Python-based data pipelines and analytical workflows for large datasets.
• Perform exposure analysis, loss cost modeling, and segmentation across lines of business.
• Support model calibration, validation, back-testing, and regulatory transparency.
• Translate actuarial requirements into scalable Python solutions integrated with hx models.
• Collaborate with actuarial, underwriting, and data engineering teams on pricing strategy.

Skills

Python

Insurance pricing

Exposure modeling

SQL

Model validation

Actuarial collaboration

Tools

hx Pricing

hx Renew

NumPy

Pandas

SciPy

scikit-learn

Azure

AWS

Guidewire integration

Duck Creek integration

Job description

Exavalu Solutions India Pvt Ltd seeks a Senior Python Insurance Pricing & Hyperexponential (hx) Specialist to lead pricing models in a remote capacity. You will develop Python pipelines, work with hx Pricing and hx Renew, and collaborate with actuarial, underwriting, and data engineering teams to improve pricing accuracy.

The role emphasizes exposure analysis, loss cost development, segmentation, and governance, with integration into rating engines and policy systems.