Earnix SME

iShare Inc

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

iShare Inc. is seeking an Earnix SME for urgent hiring. This full-time remote role supports pricing and rating processes across actuarial, data, and IT teams, focusing on Earnix configuration, modeling, deployment, and integration within enterprise systems.

The candidate will drive pricing model development, ensure system performance and reliability, and collaborate on data pipelines, API integrations, and governance across pricing apps.

Qualifications

  • Bachelor's or master's degree in CS, Actuarial Science, Mathematics, Engineering, or related field.
  • 5+ years of experience in insurance tech or pricing systems development.
  • Prior Earnix implementation experience is preferred.

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.

Skills

Python
APIs
Microservices
Data pipelines
ETL processes
Cloud platforms

Education

Bachelor's or Master's in CS/Math/Engineering

Tools

Earnix

Job description

Earnix SME – UrGENT Hiring

Full time US remote,

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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