Client is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator FrameworkTM, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. Client serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.
Client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, Client takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. Client serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
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
Candidate Profile:
- 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
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