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In Insurance Underwriting Jobs (NOW HIRING)

Weekday AI

Insurance Underwriting AI Expert

$100 - $120/hr

As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows ... Bachelor's or Master's degree in Insurance, Actuarial Science, Data Science, Statistics, or a ...

TriOptus LLC

Assistant - I Underwriting

Broomfield, CO · On-site

$19.75 - $27/hr

Mail Room Assistant - Insurance Underwriting Location : Broomfield, CO - 80021 Duration : 1 Year (Possible Extension) Responsibilities : This position is for an entry-level support staff in Insurance ...

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How much do in insurance underwriting jobs pay per year?

As of Jul 26, 2026, the average yearly pay for in insurance underwriting in the United States is $103,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $121,000.00 per year, depending on experience, location, and employer.

Is underwriting in insurance a good career?

Insurance underwriting is a stable career that involves evaluating risks and determining policy terms, often requiring analytical skills and attention to detail. It offers opportunities for advancement, professional certification, and a consistent work environment, making it a viable option for those interested in finance and risk management.

What is the highest paying underwriting job?

Senior and executive-level underwriting roles, such as Chief Underwriting Officer or Vice President of Underwriting, tend to have the highest salaries in insurance underwriting. These positions require extensive experience, advanced knowledge of risk assessment, and often involve leadership responsibilities, with compensation reflecting their seniority and expertise.

What is the difference between In Insurance Underwriting vs Insurance Claims Adjuster?

AspectInsurance UnderwritingInsurance Claims Adjuster
CredentialsTypically requires a bachelor's degree; certifications like CPCU or ARM are commonRequires a high school diploma or bachelor's; certifications like AIC or CPCU are beneficial
Work EnvironmentOffice-based, analyzing applications and risk factorsField and office-based, investigating claims and assessing damages
Industry UsageUsed in insurance companies to evaluate risk and determine policy termsUsed to settle claims, verify damages, and determine payout amounts

While both roles are integral to the insurance industry, insurance underwriters focus on evaluating risk before issuing policies, whereas insurance claims adjusters handle claims after a loss occurs. Understanding these differences helps job seekers identify the right career path within the insurance sector.

Will AI replace underwriting?

AI is increasingly used in insurance underwriting to automate data analysis and risk assessment, improving efficiency and consistency. However, human underwriters remain essential for complex cases, judgment calls, and interpreting nuanced information, making full replacement unlikely in the near term.

What are the key skills and qualifications needed to thrive in Insurance Underwriting, and why are they important?

To thrive in Insurance Underwriting, you need strong analytical skills, attention to detail, and a solid understanding of risk assessment, typically supported by a degree in finance, business, or a related field. Familiarity with underwriting software, industry databases, and relevant certifications such as Chartered Property Casualty Underwriter (CPCU) are often required. Excellent communication, decision-making, and negotiation skills help underwriters collaborate with agents and explain risk determinations. These skills and qualifications are crucial for accurately assessing risk, setting appropriate premiums, and maintaining profitability for the insurer.

How does an insurance underwriter typically collaborate with agents and other departments during the policy approval process?

Insurance underwriters frequently work closely with agents, brokers, and risk assessment teams to gather comprehensive information about applicants and ensure accurate risk evaluation. Effective communication is key, as underwriters may need to clarify policy details, negotiate terms, or request additional documentation. They also coordinate with claims and actuarial departments to stay updated on emerging trends and ensure policies align with current risk models. This collaborative approach helps maintain a balance between profitable underwriting and excellent customer service.

What is insurance underwriting?

Insurance underwriting is the process by which an insurance company evaluates the risk of insuring a person, property, or business and determines the terms and premium that should apply to the policy. Underwriters analyze information, such as applications, medical records, and risk factors, to decide whether to accept or reject coverage. Their goal is to ensure that the insurer takes on risks that are profitable and aligns with company policies. This process helps keep insurance companies financially stable and ensures fair pricing for policyholders.

How much do you get paid for an insurance underwriter?

Insurance underwriters typically earn a median annual salary of around $70,000, with salaries ranging from approximately $50,000 to over $100,000 depending on experience, location, and employer. Entry-level underwriters may start lower, while experienced professionals or those in specialized fields can earn higher wages, often supplemented by certifications and advanced skills.
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In Insurance Underwriting jobs near you

Insurance Underwriting AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 7 days ago

Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a highly motivated Insurance Underwriting AI Expert to join our growing team. This role sits at the intersection of insurance domain expertise and advanced analytics, focusing on transforming traditional underwriting processes using AI-driven solutions. The ideal candidate will bring strong knowledge of underwriting fundamentals along with the ability to design, implement, and optimize intelligent systems that enhance decision-making, efficiency, and risk outcomes.
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and portfolio management. You will collaborate closely with underwriting, actuarial, product, and engineering teams to develop scalable AI solutions aligned with business objectives.
Requirements
Key Responsibilities:
  • Design and implement AI/ML models to support risk assessment and selection, improving accuracy in evaluating applicant profiles, exposures, and potential losses.
  • Translate underwriting guidelines and business rules into data models and algorithms that automate and augment decision-making.
  • Develop and refine policy pricing and rating models using statistical and machine learning techniques, ensuring alignment with market competitiveness and profitability goals.
  • Analyze historical data and external datasets to identify risk patterns, trends, and anomalies that inform underwriting strategies.
  • Support appetite evaluation and guideline application by building intelligent systems that dynamically match risks to underwriting appetite and highlight exceptions.
  • Collaborate with cross-functional stakeholders to integrate AI models into underwriting platforms and workflows.
  • Continuously monitor model performance, validate outputs, and recalibrate algorithms to ensure compliance, fairness, and accuracy.
  • Contribute to the development of underwriting dashboards, reporting tools, and decision-support systems.
  • Stay updated on regulatory requirements and ensure all AI-driven underwriting practices adhere to compliance standards.

Required Skills & Qualifications:
  • Bachelor's or Master's degree in Insurance, Actuarial Science, Data Science, Statistics, or a related field.
  • 2-8 years of experience in insurance underwriting, analytics, or AI/ML applications within the insurance domain.
  • Strong understanding of underwriting principles, including risk evaluation, pricing strategies, and policy structures.
  • Hands-on experience with machine learning techniques such as regression, classification, clustering, and predictive modeling.
  • Proficiency in tools such as Python, R, SQL, and data visualization platforms.
  • Experience working with large datasets, data preprocessing, and feature engineering.
  • Familiarity with underwriting systems, rating engines, and insurance data structures is highly preferred.
  • Strong analytical thinking, problem-solving abilities, and attention to detail.

Preferred Qualifications:
  • Exposure to commercial or personal lines underwriting.
  • Experience with AI model deployment and MLOps practices.
  • Knowledge of regulatory frameworks impacting underwriting and pricing.

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