Developer, Pricing Analytics & Models

About the role

The Pricing Data Management & Reporting (PDMR) team within Pricing Analytics & Models (PAM) at AXA XL's insurance division is responsible for building and maintaining the data foundation that supports pricing models across the organization. This team works in a modern stack including Databricks, SQL Server, Python, and Power BI, and is driving transformation in data and reporting for pricing and underwriting.

Responsibilities

• Gather, combine and transform data from internal and external sources and bundle it into flexible and performant data models for dashboards and analytics.
• Develop and iterate on Business Intelligence dashboards that give pricing and underwriting clear, usable insight.
• Partner with pricing actuaries and underwriters to elicit and clarify requirements, translating business needs into clear specifications for data and reporting solutions.
• Manage projects end to end – scoping, planning, and tracking delivery – while keeping stakeholders from pricing, underwriting, and information technology teams aligned and informed.
• Explore and apply artificial intelligence and BI methods to improve data and reporting.
• Create and maintain clear documentation of data models, pipelines, and solutions so that products stay transparent, maintainable, and easy to hand off.

Requirements

The ideal candidate should have:

• A skilled, hands-on coder – able to build robust, maintainable solutions.
• Proven experience developing BI solutions – dashboards, reports, and data models – including the ability to translate business needs into the right indicators to surface from the data.
• Excellent analytical and investigative skills – able to dig into data, code, and tools, diagnose and resolve issues at the root, and clearly explain what was found and why it matters.
• A curious and driven to improve: a self-teacher who embraces new technologies including AI, and looks for better ways of working rather than defaulting to how things have always been done.
• An effective communicator and collaborator with a client-first mindset – keeping the needs of the actuaries and underwriters you serve front and center, while working effectively with a global, multi-functional team.
• Takes ownership and drives work to completion – self-organized, detail-oriented, and comfortable leading initiatives and influencing others.

Qualifications

Desired qualifications include:

• Experience working with Guidewire (GW), particularly its data outputs; experience with the GW Data Platform and GW Data Studio is a strong plus.
• Experience programming in SQL, Python, and R.
• Experience building dashboards with Power BI, Streamlit, and R/Shiny.
• Hands-on experience with generative AI, particularly applied in a BI or analytics context.
• Knowledge of non-life insurance pricing and core actuarial concepts.
• Progress toward an actuarial qualification (FIA, FCAS, or equivalent).