Role & Responsibilities:
- 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
Role & Responsibilities:
- 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
- 5+ years of experience in insurance technology or pricing systems development
- Prior experience in Earnix implementation projects is highly preferred
- Strong experience with platforms like Earnix (configuration, modeling, deployment)
- Proficiency in Python and data handling for large datasets
- Experience with APIs, system integration, and microservices architecture
- Knowledge of cloud platforms is a plus
- 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
Skills Required
- Bachelor's or master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, or related field
- 5+ years of experience in insurance technology or pricing systems development
- Prior experience in Earnix implementation projects
- Strong experience with platforms like Earnix (configuration, modeling, deployment)
- Proficiency in Python and data handling for large datasets
- Experience with APIs, system integration, and microservices architecture
- Knowledge of cloud platforms
- 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
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
