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
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
Loss ratios and portfolio performance
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
Benefits
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.
