AVP, Rating Platform Software Engineer (Python)

Chubb•Philadelphia, PA

5d•Remote

About The Position

The AVP, Rating Platform Software Engineer will lead the technical build-out of a Python-based rating infrastructure designed to allow Chubb to deploy, test, and evolve pricing logic with pace and precision. This role involves designing and developing internal pricing services, setting architectural direction for the Python rating ecosystem, aligning fragmented patterns across business lines, and partnering with actuarial, product, and implementation teams to translate filed rating plans into production-grade code. This is a hands-on technical leadership role that will initially focus on BOP and expand to Commercial Property, General Liability, Workers Compensation, and Commercial Auto. The opportunity is to establish engineering patterns, testing rigor, and scalable architecture for the next decade.

Requirements

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.
Fluency operating in AI-native workflows (Claude Code, Cursor, or equivalent).
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.

Nice To Haves

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.

Responsibilities

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, spending approximately 30-40 percent of time in code and 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.
Develop scalable testing infrastructure to ensure confidence in rating accuracy.
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.
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.
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.
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.