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AVP, Rating Platform Software Engineer (Python)

Chubb

Philadelphia, USA

Full-time

Executive · 6+ years experience

Discovered 2 weeks ago

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Role Overview

We are advancing our Python-based rating infrastructure. This will allow Chubb to deploy, test, and evolve pricing logic at pace and with precision.

The AVP, Rating Platform Software Engineer, will lead the technical build-out of this infrastructure. This leader will design and develop internal pricing services, set architectural direction for our Python rating ecosystem, align fragmented patterns across lines of business and partner closely with actuarial, product, and implementation teams to translate filed rating plans into production-grade code.

This is a hands-on technical leadership role spanning BOP today, with expansion planned across Commercial Property, General Liability, Workers Compensation, and Commercial Auto. The opportunity is to establish engineering patterns, testing rigor, and scalable architecture that will define how we build and ship rating capability for the next decade.

What You Will Own

Rating Engine Development & Architecture

Design, build, and maintain internal Python-based pricing services and data models supporting actuarial and product teams across commercial lines

Develop and enhance rating engine services that support multiple lines of business and enable extensible, account-level pricing

Create product configuration services that allow product owners to safely update coverage options and pricing parameters

Operate as a hands-on technical leader: roughly 30-40 percent in code, 60-70 percent in system design, architecture review, and PR review

Establish engineering standards, design patterns, and reusable components that scale across lines of business

Testing, Quality & Production Confidence

Develop best-in-class, scalable testing infrastructure that ensures confidence in rating accuracy, both in production and across the Python rating infrastructure

Build automated validation frameworks to support UAT, regression testing, and ensure rating compliance

Partner with implementation teams to ensure consistency between filed rating plans and deployed code

Data Integration & Predictive Modeling Enablement

Integrate and validate third-party data sources for pricing segmentation and predictive modeling

Enable dislocation analysis across lines to support model development and implementation

Occasionally build and deploy predictive models

Partner with data science and actuarial teams to operationalize models within the rating infrastructure

Squad Leadership in a Dotted-Line Agile Framework

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About the Role

We are advancing our Python-based rating infrastructure. This will allow Chubb to deploy, test, and evolve pricing logic at pace and with precision.

What You Will Own

Rating Engine Development & Architecture

Design, build, and maintain internal Python-based pricing services and data models supporting actuarial and product teams across commercial lines

Develop and enhance rating engine services that support multiple lines of business and enable extensible, account-level pricing

Create product configuration services that allow product owners to safely update coverage options and pricing parameters

Operate as a hands-on technical leader: roughly 30-40 percent in code, 60-70 percent in system design, architecture review, and PR review

Establish engineering standards, design patterns, and reusable components that scale across lines of business

Testing, Quality & Production Confidence

Develop best-in-class, scalable testing infrastructure that ensures confidence in rating accuracy, both in production and across the Python rating infrastructure

Build automated validation frameworks to support UAT, regression testing, and ensure rating compliance

Partner with implementation teams to ensure consistency between filed rating plans and deployed code

Data Integration & Predictive Modeling Enablement

Integrate and validate third-party data sources for pricing segmentation and predictive modeling

Enable dislocation analysis across lines to support model development and implementation

Occasionally build and deploy predictive models

Partner with data science and actuarial teams to operationalize models within the rating infrastructure

Squad Leadership in a Dotted-Line Agile Framework

Lead a dotted-line squad of onshore and offshore developers operating in an agile delivery model, with accountability for keeping the squad on task

Set sprint priorities, unblock dependencies, and drive delivery cadence across squad members who report formally to other managers

Provide technical direction through code review, architectural guidance, and active mentorship

Establish working agreements, intake discipline, and prioritization frameworks that protect squad capacity from ad hoc demand

Partner with offshore people managers to provide input on performance, growth, and retention of squad members

Collaborate closely with implementation teams across commercial insurance to develop standardized patterns and scalable solutions

Partner with actuarial, platform engineering, and implementation teams to align on requirements, sequencing, and delivery

Qualifications

6+ years of progressive experience in software engineering, actuarial systems development, or insurance technology, with demonstrated technical leadership
Hands-on mastery of Python and SQL, and fluency operating in AI-native workflows (Claude Code, Cursor, or equivalent). This leader must be able to write, review, and architect production code from day one
Demonstrated experience building or significantly contributing to a rating engine, pricing system, or comparable rules- and calculation-driven service
Track record of establishing testing frameworks and engineering quality practices in a production environment
Strong system design instincts: API design, service architecture, separation of concerns, and building for extensibility
Strong communication skills with the ability to translate between actuarial logic, product requirements, and engineering implementation
Comfort operating in a regulated, multi-stakeholder environment where speed, rigor, and compliance must coexist
Preferred:
P&C insurance background with exposure to commercial lines
Familiarity with filed rating plans, rating bureau frameworks (ISO, NCCI), or actuarial pricing concepts
Experience with Databricks, Snowflake, or comparable cloud data platforms
Experience with Duck Creek, Guidewire, or similar policy administration platforms
Exposure to predictive modeling workflows and integrating models into production pricing systems
Experience building engineering functions or technical capabilities from an existing codebase
Background in financial services or other regulated technology environments with clear aptitude and willingness to learn the commercial insurance domain
The pay range for the role is $131,000 to $189,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
- 6+ years of progressive experience in software engineering, actuarial systems development, or insurance technology, with demonstrated technical leadership - Hands-on mastery of Python and SQL, and fluency operating in AI-native workflows (Claude Code, Cursor, or equivalent). This leader must be able to write, review, and architect production code from day one - Demonstrated experience building or significantly contributing to a rating engine, pricing system, or comparable rules- and calculation-driven service - Track record of establishing testing frameworks and engineering quality practices in a production environment - Strong system design instincts: API design, service architecture, separation of concerns, and building for extensibility - Strong communication skills with the ability to translate between actuarial logic, product requirements, and engineering implementation - Comfort operating in a regulated, multi-stakeholder environment where speed, rigor, and compliance must coexist Preferred: - P&C insurance background with exposure to commercial lines - Familiarity with filed rating plans, rating bureau frameworks (ISO, NCCI), or actuarial pricing concepts - Experience with Databricks, Snowflake, or comparable cloud data platforms - Experience with Duck Creek, Guidewire, or similar policy administration platforms - Exposure to predictive modeling workflows and integrating models into production pricing systems - Experience building engineering functions or technical capabilities from an existing codebase - Background in financial services or other regulated technology environments with clear aptitude and willingness to learn the commercial insurance domain The pay range for the role is $131,000 to $189,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

AVP, Rating Platform Software Engineer (Python)

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