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Actuarial Model Validation Jobs (NOW HIRING)

$128K - $165K/yr

... Validation team ... The team is responsible for the maintenance and development of actuarial models as well as first ...

Hands-on experience supporting AXIS conversions, model development, testing, validation, reconciliation, and actuarial data mapping. Expected to independently execute assigned conversion and modeling ...

Support in-force management, actuarial due diligence, regulatory field testing, and model validation activities * Help develop transaction pricing models for capital management initiatives, including ...

Support in-force management, actuarial due diligence, regulatory field testing, and model validation activities * Help develop transaction pricing models for capital management initiatives, including ...

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Actuarial Model Validation information

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$22K

$93.5K

$154K

How much do actuarial model validation jobs pay per year?

As of Sep 10, 2026, the average yearly pay for actuarial model validation 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 actuarial model validation?

Actuarial model validation is the process of reviewing and testing actuarial models to ensure their accuracy, reliability, and appropriateness for decision-making in insurance, finance, and risk management. This involves checking the model’s assumptions, data inputs, calculations, and outputs against industry standards and regulatory requirements. The goal is to identify and correct any errors or weaknesses to maintain confidence in the model’s results. Actuarial model validation is a key aspect of risk management and regulatory compliance for organizations that rely on predictive modeling.

What are some typical challenges faced in actuarial model validation, and how are they addressed within a team setting?

Professionals in Actuarial Model Validation often encounter challenges such as ensuring model accuracy, interpreting complex data sets, and keeping up with evolving regulatory standards. These challenges are typically addressed through rigorous peer reviews, regular team meetings to discuss findings, and close collaboration with actuaries, data scientists, and IT specialists. Strong communication skills are essential, as model validators need to clearly explain technical findings to both technical and non-technical stakeholders. Continuous professional development and staying updated with industry best practices also help team members effectively manage these challenges.

What are the key skills and qualifications needed to thrive in actuarial model validation, and why are they important?

To thrive in Actuarial Model Validation, you need strong analytical skills, proficiency in statistical modeling, a degree in actuarial science or a related field, and progress towards actuarial certifications like SOA or CAS. Familiarity with actuarial modeling software (such as Prophet or MoSes), programming languages (like Python or VBA), and risk management systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that set professionals apart in this role. These skills and qualifications ensure models are accurate, regulatory standards are met, and stakeholders clearly understand model limitations and results.

What other helpful pages are available for Actuarial Model Validation?

Other pages related to Actuarial Model Validation:

Infographic showing various Actuarial Model Validation job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Actuarial Model Validation Consultant

Manhattan, NY • Remote

Robert Half
Recruiting and Staffing Services • 10K+ employees

$70 - $90/hr

Temporary

Posted 29 days ago


Job description

Our client is seeking experienced consultants to support an actuarial model testing and validation program. The engagement will involve independent assessment of actuarial and insurance risk models and/or investment and analytics models. Candidates should have strong experience with model validation methodologies, insurance risk frameworks, and MG-ALFA.


Key Responsibilities:

  • Perform testing and validation of actuarial, insurance risk, and investment/analytics models.
  • Assess model assumptions, methodologies, data inputs, calculations, and outputs.
  • Evaluate model governance, controls, documentation, and validation findings.
  • Leverage MG-ALFA expertise to support model review, testing, and validation activities.
  • Experience in actuarial model validation, model risk management, or related quantitative risk functions.
  • Insurance industry experience, preferably within life and annuity products.
  • Hands-on experience with MG-ALFA required.

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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948