The Role
Implement, configure, and support Earnix-based pricing solutions; integrate with policy admin and data systems; collaborate with actuarial, data, and IT teams to design, deploy, and monitor pricing models; ensure scalability, performance, testing, and governance.
Summary Generated by Built In
- Knowledge of data pipelines, ETL processes, and data modeling
- Solid understanding of P&C insurance pricing and underwriting processes
- Exposure to actuarial modeling, rating algorithms, and risk segmentation
- Familiarity with regulatory and compliance considerations in insurance pricing
- Strong analytical and problem-solving skills
- Ability to work collaboratively in cross-functional teams
- Excellent communication and stakeholder management skills
- Detail-oriented with a focus on quality and accuracy
- Provide technical support for Earnix configuration, customization, and integration with enterprise pricing systems and workflows
- Collaborate with actuarial, data, and IT teams to design and implement architecture supporting pricing and rating processes
- Work with solution architects and system engineers to optimize end-to-end pricing lifecycle, including data ingestion, model deployment, and monitoring
- Develop, enhance, and maintain Earnix-based pricing models and decisioning systems
- Ensure performance, scalability, and reliability of Earnix solutions in production environments
- Support integration with upstream/downstream systems (e.g., policy admin systems, data warehouses, APIs)
- Participate in testing, validation, and deployment of pricing models
- Troubleshoot and resolve technical and functional issues in pricing applications
- Contribute to best practices, documentation, and governance for pricing systems and actuarial processes
Bachelor’s or master’s degree in computer science, Actuarial Science, Mathematics, Engineering, or related field
Skills Required
- Knowledge of data pipelines, ETL processes, and data modeling
- Solid understanding of P & C insurance pricing and underwriting processes
- Exposure to actuarial modeling, rating algorithms, and risk segmentation
- Familiarity with regulatory and compliance considerations in insurance pricing
- Strong analytical and problem-solving skills
- Ability to work collaboratively in cross-functional teams
- Excellent communication and stakeholder management skills
- Detail-oriented with a focus on quality and accuracy
- Bachelor's or master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, or related field
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The Company