Python Insurance Pricing & Hyperexponential (HX) Specialist

JOB SUMMARY We are seeking an experienced Senior Python Insurance Pricing & Hyperexponential (HX) Specialist with strong expertise in insurance rating and pricing systems and hands-on Python development experience. The ideal candidate will be responsible for designing, developing, enhancing, and maintaining pricing and rating solutions for insurance products. This role requires a strong knowledge of insurance rating methodologies, the ability to translate actuarial and underwriting requirements into technical solutions, and experience working with Hyperexponential (HX) or similar insurance pricing platforms. Experience in predictive modeling and pricing optimization will be considered a strong advantage. Key Responsibilities Design, develop, and maintain insurance rating and pricing logic using Python. Implement and enhance rating algorithms, factor tables, discounts, surcharges, and validation rules. Translate actuarial specifications, underwriting guidelines, and business requirements into scalable technical pricing solutions. Configure and support HX-based product and pricing models. Integrate pricing and rating services with policy administration and downstream systems using REST APIs and service-based architectures. Perform unit testing, validation testing, and regression testing of rating and pricing calculations. Support product launches, pricing updates, regulatory changes, and rate revisions. Analyze pricing and rating outcomes to support model optimization and refinement. Collaborate closely with Actuarial, Product, Underwriting, QA, and DevOps teams. Troubleshoot and resolve production issues related to pricing and rating logic. Contribute to technical best practices, continuous improvement, and solution optimization initiatives. Required Qualifications Strong hands-on Python development experience, including Object-Oriented Programming (OOP), data structures, algorithms, and performance optimization. Proven experience building, enhancing, or supporting insurance rating/pricing engines. Strong SQL and relational database expertise. Hands-on experience with RESTful APIs and service-oriented architectures. Strong understanding of insurance rating and pricing concepts, including base rates and modifiers, tiering, discounts, surcharges, risk factors, territories, classes, deductibles, and coverage limits. Experience working with insurance products, preferably within the Property & Casualty (P&C) domain. Candidates from other insurance domains with strong pricing/rating experience will also be considered. Preferred Qualifications Knowledge or hands-on experience with Hyperexponential (HX) or similar insurance pricing platforms. Experience in predictive modeling for insurance pricing or risk assessment. Familiarity with statistical modeling or machine learning techniques used in underwriting and pricing. Exposure to actuarial pricing models and methodologies. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. Understanding of CI/CD pipelines and DevOps practices. Experience with Duck Creek Rating or Policy modules is a plus. Education: Bachelors Degree