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hyperexponential

Business Value Consultant

New York, NY · On-site

$85K - $115K/yr

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry: which risks to take, and how to ...

hyperexponential

Customer Success Manager

New York, NY · On-site

$111K - $135K/yr

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry: which risks to take, and how to ...

hyperexponential

Enterprise Account Executive

New York, NY · On-site

$260K - $320K/yr

About hyperexponential (hx) At hyperexponential, we're building the AI platform reshaping how insurers make their most important decisions: which risks to take, and how to price them. This is a huge ...

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Hyperexponential information

What is the difference between Hyperexponential vs Exponential?

FeatureHyperexponentialExponential
Distribution TypeMixture of multiple exponential distributions with different ratesSingle exponential distribution with one rate
Use CaseModeling complex, multi-phase processes with varying ratesModeling processes with constant, memoryless rate
CredentialsOften requires knowledge of advanced probability and statisticsBasic understanding of probability distributions
Work EnvironmentResearch, data analysis, simulationReliability engineering, queuing theory

Hyperexponential and exponential distributions are both used in modeling stochastic processes. Hyperexponential distributions are more complex, representing systems with multiple phases, while exponential distributions assume a constant rate. Understanding their differences helps in selecting the right model for your industry needs.

What are some common challenges faced by professionals working in hyperexponential roles within the insurance technology sector?

Professionals in hyperexponential roles, especially within insurance technology, often encounter challenges related to managing complex data models and rapidly evolving client requirements. Balancing the need for robust, scalable solutions with the agility to adapt to frequent industry changes requires strong technical skills and close collaboration with data scientists, actuaries, and product managers. Additionally, staying up-to-date with emerging technologies and regulatory standards is essential for delivering innovative, compliant solutions. Successful team members are proactive problem-solvers who thrive in fast-paced, collaborative environments.

What is a Hyperexponential and what do they do?

Hyperexponential is a technology company that specializes in developing advanced pricing decision intelligence software for the insurance industry. Their platform, known as hx Renew, helps insurers use data and machine learning to make better pricing decisions, manage risk, and improve profitability. By leveraging powerful analytics and automation, Hyperexponential enables insurance companies to respond quickly to market changes and deliver innovative insurance products. Their solutions are used by major insurers worldwide to enhance their pricing strategies and gain a competitive edge.

What are the key skills and qualifications needed to thrive as a Hyperexponential (Software Engineer at Hyperexponential), and why are they important?

To thrive as a Software Engineer at Hyperexponential, you need strong programming skills, a solid understanding of algorithms, and a background in mathematics or actuarial science, typically demonstrated by a relevant degree or experience. Familiarity with tools such as Python, cloud platforms (like AWS or Azure), and version control systems (like Git) is commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication help you collaborate within agile teams and deliver high-quality solutions. These competencies are crucial for building innovative, reliable software products that meet the complex needs of Hyperexponential's insurance industry clients.
What cities are hiring for Hyperexponential jobs? Cities with the most Hyperexponential job openings:
What states have the most Hyperexponential jobs? States with the most job openings for Hyperexponential jobs include:
What job categories do people searching Hyperexponential jobs look for? The top searched job categories for Hyperexponential jobs are:
Hyperexponential jobs near you
Infographic showing various Hyperexponential job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Python Insurance Pricing & Hyperexponential (HX) Specialist

Senior Python Insurance Pricing & Hyperexponential (HX) Specialist

Okaya Corp.

Phoenix, AZ • On-site

Contractor

Posted 17 days ago

Job description

Job Summary
We are seeking an experienced Senior Python Insurance Pricing & Hyperexponential (HX) Specialist with strong expertise in insurance rating and pricing systems along with hands-on Python development experience. The ideal candidate will be responsible for designing, developing, enhancing, and maintaining pricing and rating solutions for insurance products.
The role requires 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.

Mandatory Skills & Qualifications
Technical Skills (Must-Have)
  • Strong hands-on Python development experience, including:
    • Object-Oriented Programming (OOP)
    • Data structures and algorithms
    • 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.

Insurance Domain Expertise (Must-Have)
Strong understanding of insurance rating and pricing concepts, including:
  • Base rates and modifiers
  • Tiering, discounts, and surcharges
  • Risk factors and territories
  • Classes, deductibles, and coverage limits

Experience working with insurance products is required, preferably within the Property & Casualty (P&C) domain. Candidates from other insurance domains with strong pricing/rating experience will also be considered.
Desired / Preferred Skills
  • 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
    • GCP
  • Understanding of CI/CD pipelines and DevOps practices.
  • Experience with Duck Creek Rating or Policy modules is a plus.

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