Role - Earnix Tech Lead
Location: San Antonio, TX
Salary Range: $80,000-$120,000 a year
Experience Required – 2-6 Years of Experience
Desired Skills: Insurance - Policy Administration - Property and Casualty
Job Description:
Must Have Technical/Functional Skills
Earnix software configuration, particularly implementing rate tables, rate order calculations, and data integration.
Advanced SQL skills (Oracle/SQL Server) for data extraction and analysis, along with familiarity with scripting languages like Python or R.
Proven ability to integrate Earnix with peripheral systems, specifically Guidewire in P&C insurance contexts.
Strong background in P&C (Property & Casualty) insurance, actuarial pricing, or rating algorithms.
Build and maintain rate tables, rating routines, and strategy trees within the Earnix platform (e.g., PriceIt, Model Builder).Configure underwriting rules, segmentation strategies, and rate calculation logic to meet business requirements.
Roles & Responsibilities:
Build and maintain rate tables, rating routines, and strategy trees within the Earnix platform (e.g., PriceIt, Model Builder).Configure underwriting rules, segmentation strategies, and rate calculation logic to meet business requirements. Responsible to configure Rating and UW rules in Earnix across the different lines of business. Analyze data, manage SQL datasets, and embed predictive models developed by actuarial or data science teams into the Earnix framework.
Perform unit, integration and regression testing. Experience with Earnix (PriceIt, Model Builder) is generally required. Develop integrations between Earnix and core policy administration systems (e.g., Guidewire PolicyCenter) via APIs and data pipelines.
Prepare the testplan and Qtest evidences.
Attend stand up’s, backlog refinements, sprint plannings at regular cadences.
Responsible for Demo''s to team and business SME''s for the signoff.
Ability to promote to staging Environment Rule and Product
Responsible for production readiness sign off and online promotion (Production environment). Strong background in P&C (Property & Casualty) insurance, actuarial pricing, or rating algorithms
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