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Actuarial Modeling Jobs (NOW HIRING)

The VP of Actuarial Modeling will lead the design, execution, and governance of Athene's actuarial model production processes supporting quarterly and monthly closes across GAAP and Statutory ...

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Actuarial Modeling information

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$22K

$93.5K

$154K

How much do actuarial modeling jobs pay per year?

As of Sep 10, 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?

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 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.

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.

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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 September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Actuarial Modeling Developer

Newark, NJ • On-site

Hermitage Infotech
11 - 50 employees

Other

Posted 22 days ago


Job description

I’m recruiting for an Actuarial Modeling Developer opportunity with a major financial services firm supporting its Pension Risk Transfer pricing organization.

This is a contract-to-hire position based in Newark, NJ, with three days per week onsite. It is a hybrid position.

Candidates should be ready to relocate if required by the client.

The role combines actuarial modeling with hands-on development. The selected candidate will build reusable actuarial components, automate pricing processes, and develop models and analytical tools using technologies such as Python, SQL, and VBA.

Key qualifications include:
  • Strong foundation in actuarial principles
  • ASA with four or more years of actuarial experience
  • Quantitative modeling experience
  • Python, SQL, or VBA programming skills
  • Experience with actuarial pricing, valuation, product development, or risk modeling
  • Pension or Pension Risk Transfer experience is highly preferred

USC/GC Candidates are preferred.

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