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Actuarial Modeling Jobs (NOW HIRING)

The AVP, Modeling Manager will be a key member of the Actuarial & Strategy actuarial modeling team, which serves the company by providing projections to support financial reporting requirements ...

AVP, Corporate Actuarial

Des Moines, IA · On-site

$140K - $180K/yr

The position will partner closely with Investments, Risk, Finance, Actuarial Modeling, and Technology teams to ensure high-quality production, strong governance, and meaningful management insights.

The Standard seeks a talented actuary to join the Actuarial Modeling team. In this role, you will focus on projection modeling for Elective Voluntary Benefits (EVB) products (including Traditional ...

The Actuarial Modeling function is responsible for developing and maintaining financial cash flow models used for IFRS and statutory reporting, as well as business function models for asset-liability ...

Your models will inform brokers in benchmarking risk, validating program pricing, and advising ... If you are a credentialed actuary comfortable in a Python coding and seeking to embrace modern ...

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Actuarial Modeling information

See salary details

$22K

$93.5K

$154K

How much do actuarial modeling jobs pay per year?

As of Jun 20, 2026, the average yearly pay for actuarial modeling in the United States is $93,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $109,500.00 per year, depending on experience, location, and employer.

What is an Actuarial Modeling job?

An Actuarial Modeling job involves developing mathematical models to assess financial risks in insurance, pensions, and investments. Actuaries in this role analyze data, create simulations, and use predictive modeling techniques to estimate future liabilities and optimize financial decision-making. They work with software tools like R, Python, or specialized actuarial software to build and refine these models. This job is crucial for pricing insurance products, managing reserves, and ensuring regulatory compliance. Strong analytical skills, statistical knowledge, and a deep understanding of financial risk are essential for success in this role.

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

To thrive in Actuarial Modeling, candidates need strong analytical and mathematical skills, proficiency in statistics, and a degree in actuarial science, mathematics, or a related field. Familiarity with actuarial software (such as Prophet or AXIS), advanced Excel, and progress toward professional certifications (such as ASA, FSA, or CFA) are typically required. Exceptional problem-solving abilities, attention to detail, and clear communication skills help individuals collaborate effectively and explain complex models. These competencies are essential to ensure accurate risk assessment, compliance with industry regulations, and deliver actionable insights to stakeholders.

What does a typical workday look like for someone in an Actuarial Modeling role?

A typical workday for an Actuarial Modeling professional involves building, testing, and refining mathematical models to evaluate risks and forecast financial outcomes for insurance or pension products. You’ll collaborate with other actuaries, underwriters, and data analysts, often participating in team meetings to discuss assumptions and model outcomes. Regular responsibilities include running sensitivity analyses, preparing documentation, and presenting findings to both technical and non-technical audiences. The role offers a dynamic mix of independent analysis and teamwork, making it engaging for those who enjoy problem-solving and cross-functional collaboration.

More about Actuarial Modeling jobs
What cities are hiring for Actuarial Modeling jobs? Cities with the most Actuarial Modeling job openings:
What are the most commonly searched types of Actuarial Modeling jobs? The most popular types of Actuarial Modeling jobs are:
What states have the most Actuarial Modeling jobs? States with the most job openings for Actuarial Modeling jobs include:
Infographic showing various Actuarial Modeling job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 66% In-person, 6% Hybrid, and 28% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.
Actuarial Developer

Actuarial Developer

Lockton, Inc.

Minneapolis, MN • On-site

Full-time

Posted 21 days ago


Lockton rating

8.1

Company rating: 8.1 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

133rd of 261 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

What Lockton employees say

Pay

Hours and flexibility

Workplace

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