AVP, Rating Architect (Python)

We're modernizing our rating infrastructure so actuarial and product teams can rapidly design, test, and deploy pricing changes quickly and with full confidence. As an AVP, Rating Architect (Python), you will own the architecture behind how Chubb reprices its Commercial Insurance North America portfolio. You will turn actuarial intent into clear, rigorous requirements and build a rerating platform that gives actuaries and rating sophistication teams self-service access to the answers they need. Those answers include what a rate change will do to the book, which customers it will affect, and whether production matches what was filed. You'll sit at the intersection of actuarial science, product, and engineering. You'll set technical direction for our non-production rating ecosystem, including internal Python raters and own the automated quality controls that connect it to production. This is a hands-on technical leadership role: roughly 70–80% architecture, requirements, and technical direction, and 20–30% hands-on development.

What You Will Own

Rating Platform Development & Architecture

• Own the end-to-end rerating architecture across commercial lines, from rating logic through structured outputs, so it can scale across lines of business and adapt quickly to new rating plans.
• Build self-service rerating so actuarial and rating sophistication teams can run scenarios, test rate changes, and analyze results on their own, without waiting on engineering cycles.
• Design and evolve rating engine services that support account-level pricing and extend cleanly to new lines and products.
• Build product configuration services that let product owners safely update coverage options and pricing parameters.
• Formalize how rerate outputs flow into Snowflake, with governance, versioning, and reliable availability for downstream actuarial, portfolio, and model monitoring analytics.

Actuarially Aligned Requirements

• Partner directly with actuaries to translate rating plans, algorithms, and order of calculation into precise, testable technical requirements.
• Serve as the bridge between actuarial logic, product intent, and engineering execution, so what gets built is exactly what was designed and filed.
• Establish requirements standards and documentation practices that become the blueprint for rating development across Commercial Insurance.
• Build the rerating capabilities that power rating dislocation analysis, showing how proposed rate changes affect individual accounts, segments, and the broader portfolio before they reach the market.
• Give actuarial and product teams fast, trustworthy dislocation insights to inform rate filings, underwriting strategy, and implementation decisions.

Testing, Quality & Production Confidence

• Own an automated UAT process that validates rating results across non-production raters, Radar production rating externalization, and production IT rating systems.
• Build scalable regression and validation frameworks that catch discrepancies early and confirm consistency between filed rating plans and deployed code.
• Partner with the actuarial Radar team and IT production rating support to resolve issues quickly and continuously raise the bar on rating accuracy.
• Contribute to the evaluation of future rating externalization options with actuarial leadership.

Squad Leadership

• Act as the technical authority for the rating ecosystem through expert code review, architectural guidance, and strict coding hygiene and Git best practices.
• Lead the BOP Python rater squad (currently three developers) and coordinate with developers supporting other lines, providing active mentorship and technical direction.
• Manage the full SDLC, including engineering standards, design patterns, and reusable components that scale across lines of business.
• Set sprint priorities, unblock dependencies, and drive delivery cadence within an agile framework.
• Champion AI-native development workflows (Claude Code, Cursor, or equivalent) and help shape how the team builds as it grows.

Required

• 6+ years of progressive experience in software engineering, actuarial systems development, or insurance technology, including technical leadership of developers.
• Demonstrated experience architecting or significantly contributing to a rating engine, rerating process, pricing system, or comparable rules- and calculation-driven platform.
• Proven ability to write clear, actuarially aligned technical requirements and translate between actuarial, product, and engineering teams.
• Hands-on mastery of Python and SQL, and Git/version control best practices.
• Fluency with AI-native development workflows (Claude Code, Cursor, or equivalent).
• Strong understanding of P&C rating mechanics, including rating algorithms and order of calculation.
• Experience with Snowflake or similar cloud data platforms.
• Track record of establishing testing frameworks and engineering quality practices.
• Strong communication skills with the ability to translate between actuarial logic, product requirements, and engineering implementation.

Preferred

• Commercial lines P&C experience.
• Familiarity with WTW Radar Live or similar rating externalization platforms.
• Experience supporting rating dislocation or rate impact analysis.
• Familiarity with rating bureau frameworks (ISO, NCCI, etc.).
• Exposure to predictive modeling workflows and integrating models into production systems.

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.