- Job Description: Work Location: United States
Work Mode : Remote
Pay Range :$110K-$180K /Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
US Careers and Benefits
The business outcomes we deliver to clients are made real by people through what they do at EXL. To be at the top of the game every day at work, requires you to bring your best.
- 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
Qualifications: Bachelor’s or master’s degree in computer science, Actuarial Science, Mathematics, Engineering, or related field
