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Actuarial Developer Jobs (NOW HIRING)

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 ...

We are looking for an SVP of Actuarial Engineering who is, first and foremost, an actuary who builds analytics products that non‑actuaries can use. This is not a people‑management role in the ...

We are looking for an SVP of Actuarial Engineering who is, first and foremost, an actuary who builds analytics products that non‑actuaries can use. This is not a people‑management role in the ...

We are looking for an SVP of Actuarial Engineering who is, first and foremost, an experienced actuary in insurance (REQUIRED) who builds analytics products that non-actuaries can use. This is not a ...

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Actuarial Developer information

See salary details

$34.5K

$109.9K

$194K

How much do actuarial developer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for actuarial developer in the United States is $109,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $135,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for an Actuarial Developer?

A typical day for an Actuarial Developer involves designing and implementing actuarial models, coding algorithms to support insurance and risk calculations, and testing developed software to ensure accuracy. You'll regularly collaborate with actuaries, data scientists, and business analysts to gather requirements and refine solutions. Managing multiple projects and adapting to feedback from stakeholders is common, as is documenting code and maintaining model integrity. The role offers a dynamic blend of independent technical work and cross-functional teamwork, providing opportunities to deepen both actuarial and software development expertise.

What are the key skills and qualifications needed to thrive in the Actuarial Developer position, and why are they important?

To thrive as an Actuarial Developer, you need a strong background in actuarial science, mathematics, or statistics, combined with solid programming skills in languages such as Python, R, or C#. Experience with actuarial modeling software, data analysis tools, and knowledge of relevant certifications like ASA or FSA are highly valued. Strong problem-solving, attention to detail, and effective communication are important soft skills for this role. These competencies are crucial for delivering reliable analytical solutions, translating complex actuarial models into efficient code, and collaborating with both technical and non-technical teams.

What does an Actuarial Developer do?

An Actuarial Developer combines actuarial science with software development to build and maintain financial models, risk assessment tools, and automation processes. They work with programming languages like Python, R, or C# to develop applications that support actuarial analysis, pricing, and forecasting. Their role involves data processing, algorithm development, and optimizing actuarial computations for efficiency. Actuarial Developers often collaborate with actuaries, software engineers, and financial professionals to ensure accurate and reliable risk modeling.

More about Actuarial Developer jobs
What cities are hiring for Actuarial Developer jobs? Cities with the most Actuarial Developer job openings:
What are the most commonly searched types of Actuarial Developer jobs? The most popular types of Actuarial Developer jobs are:
What states have the most Actuarial Developer jobs? States with the most job openings for Actuarial Developer jobs include:
What job categories do people searching Actuarial Developer jobs look for? The top searched job categories for Actuarial Developer jobs are:
Infographic showing various Actuarial Developer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Nights. Highlights an 64% Physical, 13% Hybrid, and 23% Remote job distribution, with an average salary of $109,912 per year, or $52.8 per hour.
Actuarial Developer

Actuarial Developer

Lockton, Inc.

Minneapolis, MN • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Lockton rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

23rd of 281 rated insurance


Job description

Job Summary:
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.

Requirements:
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

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