Senior Python Insurance Pricing & Hyperexponential (hx) Specialist

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 | Full time

Senior Python Insurance Pricing & Hyperexponential (hx) Specialist

• Department Name Insurance Platform & Products
• Date Opened 04/29/2026
• Job Type Full time
• Required Skills
  • validation rules
  • git
  • +69
• Job Location India
• Remote Job

About Us

Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.

Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.

Exavalu offers permanent remote working model as we believe in going where the right talent is.

Job Description

This is a remote position.

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

Core Technical Skills

• Strong hands‑on Python expertise for data analysis, pricing workflows, and automation (NumPy, Pandas, SciPy, scikit‑learn).
• Proven experience with insurance pricing and exposure modeling, including frequency/severity, loss cost development, and segmentation.
• Hands‑on experience with Hyperexponential (hx) platforms (hx Pricing, hx Renew, model configuration or APIs).
• Advanced SQL skills for querying and validating large policy, exposure, and claims datasets.

Insurance Domain Expertise

• Solid understanding of P&C insurance pricing fundamentals, including:
• Exposure measures
• Rating variables and relativities
• Underwriting and pricing governance
• Experience working with pricing, actuarial, or underwriting teams in production environments.

Data & Platform Skills

• Experience working with large‑scale insurance data platforms on Azure or AWS.
• Familiarity with data pipelines, versioned datasets, and reproducible analytical workflows.
• Ability to visualize and communicate insights using Python‑based or BI visualization tools.

Requirements

Nice to Have

• Actuarial background or close collaboration experience with actuarial teams
• Experience integrating pricing models with Guidewire, Duck Creek, or custom rating engines
• Exposure to advanced statistical or ML techniques applied to insurance pricing
• Experience supporting pricing modernization or analytics transformation programs

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.