*The ideal candidate will sit in one of the listed locations. However, remote arrangements will be considered. *The title and career band/level for this position are flexible based on the candidate’s experience.About the RoleWe 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 OwnRating Engine Development & ArchitectureDesign, build, and maintain internal Python-based pricing services and data models supporting actuarial and product teams across commercial linesDevelop and enhance rating engine services that support multiple lines of business and enable extensible, account-level pricingCreate product configuration services that allow product owners to safely update coverage options and pricing parametersOperate as a hands-on technical leader: roughly 30-40 percent in code, 60-70 percent in system design, architecture review, and PR reviewEstablish engineering standards, design patterns, and reusable components that scale across lines of businessTesting, Quality & Production ConfidenceDevelop best-in-class, scalable testing infrastructure that ensures confidence in rating accuracy, both in production and across the Python rating infrastructureBuild automated validation frameworks to support UAT, regression testing, and ensure rating compliancePartner with implementation teams to ensure consistency between filed rating plans and deployed codeData Integration & Predictive Modeling EnablementIntegrate and validate third-party data sources for pricing segmentation and predictive modelingEnable dislocation analysis across lines to support model development and implementationOccasionally build and deploy predictive modelsPartner with data science and actuarial teams to operationalize models within the rating infrastructureSquad Leadership in a Dotted-Line Agile FrameworkLead a dotted-line squad of onshore and offshore developers operating in an agile delivery model, with accountability for keeping the squad on taskSet sprint priorities, unblock dependencies, and drive delivery cadence across squad members who report formally to other managersProvide technical direction through code review, architectural guidance, and active mentorshipEstablish working agreements, intake discipline, and prioritization frameworks that protect squad capacity from ad hoc demandPartner with offshore people managers to provide input on performance, growth, and retention of squad membersCollaborate closely with implementation teams across commercial insurance to develop standardized patterns and scalable solutionsPartner with actuarial, platform engineering, and implementation teams to align on requirements, sequencing, and delivery 6+ years of progressive experience in software engineering, actuarial systems development, or insurance technology, with demonstrated technical leadershipHands-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 oneDemonstrated experience building or significantly contributing to a rating engine, pricing system, or comparable rules- and calculation-driven serviceTrack record of establishing testing frameworks and engineering quality practices in a production environmentStrong system design instincts: API design, service architecture, separation of concerns, and building for extensibilityStrong communication skills with the ability to translate between actuarial logic, product requirements, and engineering implementationComfort operating in a regulated, multi-stakeholder environment where speed, rigor, and compliance must coexist Preferred:P&C insurance background with exposure to commercial linesFamiliarity with filed rating plans, rating bureau frameworks (ISO, NCCI), or actuarial pricing conceptsExperience with Databricks, Snowflake, or comparable cloud data platformsExperience with Duck Creek, Guidewire, or similar policy administration platformsExposure to predictive modeling workflows and integrating models into production pricing systemsExperience building engineering functions or technical capabilities from an existing codebaseBackground 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.