Actuarial Developer

This position is responsible for building the frameworks, services, and tools that empower internal actuarial teams across Lockton Re. The person will code algorithms/skills and create/maintain tables for use in an AI and react frontend UI framework to perform actuarial modeling projects. We’re looking for a talented Software Engineer to help build the next generation of AI-powered developer tooling, tools that Lockton Re actuaries and analysts depend on every day. In this role, you’ll use AI to transform the actuarial analysis process end-to-end — from initial development through testing, deployment, and beyond. Skills to create and code AI agents skill sets to be used in a broader AI framework preferred.

What You Will Do:

• Hands-on role in developing and supporting both new and existing platform features, partnering closely with cross-functional teams to navigate the complex interdependencies of large-scale application development.
• Design, build, and optimize scalable backend services and APIs using React and Python — powering the developer efficiency workflows that engineers rely on every day.
• Write clean, maintainable, and thoroughly tested code that reflects a high bar for engineering excellence.
• Actively contribute to code reviews, architectural discussions, and production incident response — sharing knowledge, raising the bar, and elevating quality across the team
• Working with actuaries to finalize specifications for development.
   

Who you are:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field or equivalent practical experience.
• 5+ years of insurance industry experience designing and building scalable, high-performance backend systems, with hands-on experience in cloud infrastructure, containerization, and data pipelines.
• Strong programming proficiency in Python, with hands-on experience in relational databases and scalable service-oriented architectures.
• Experience developing AI agents using frameworks such as LangGraph, Claude Agent, and similar libraries
• Strong proficiency in Python
• Ability to create AI prompting and skillsets for use by AI agents – experience preferred
• Solid understanding of data structures & actuarial algorithms
• Hands-on experience with NumPy, Pandas 
• Experience with REST APIs (FastAPI / Flask / Django)
• Experience with Github and Azure DevOps
• Experience working with large datasets
• Actuarial modeling experience preferred