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Fraud Intelligence Analyst Jobs (NOW HIRING)

Parsons

Intelligence Analyst

Honolulu, HI

$112K - $196K/yr

Serve as a senior intelligence analyst on a geographically dispersed cross-functional team ... To learn more about recruitment fraud and how to report it, please refer to

Parsons

Intelligence Analyst

Fort Belvoir, VA

$112K - $196K/yr

Serve as a senior intelligence analyst on a geographically dispersed cross-functional team ... To learn more about recruitment fraud and how to report it, please refer to

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$99.9K

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How much do fraud intelligence analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for fraud intelligence analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Fraud Intelligence Analyst, and why are they important?

To thrive as a Fraud Intelligence Analyst, you need a strong analytical mindset, attention to detail, and a relevant degree such as in criminology, finance, or data analysis. Familiarity with fraud detection tools, data analysis software, and sometimes certifications like Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving, communication, and critical thinking skills help analysts collaborate effectively and present findings clearly. These skills are crucial for accurately identifying fraudulent activity, minimizing financial losses, and supporting organizational security.

What does a Fraud Intelligence Analyst do?

A Fraud Intelligence Analyst is responsible for identifying, investigating, and preventing fraudulent activities within an organization. They analyze data patterns, monitor transactions, and use specialized tools to detect suspicious behavior or trends that may indicate fraud. These professionals collaborate with other departments and law enforcement agencies to develop strategies, provide intelligence reports, and support ongoing investigations. Their work helps protect businesses and customers from financial losses and reputational damage caused by fraud.

How does a Fraud Intelligence Analyst typically collaborate with other departments to prevent financial loss?

Fraud Intelligence Analysts regularly work alongside teams in risk management, compliance, IT, and customer service to detect and investigate suspicious activities. They often participate in cross-functional meetings to share insights, analyze emerging fraud patterns, and recommend proactive measures. This collaboration ensures that the organization maintains a unified approach to fraud prevention and response, allowing for swift action when potential threats are identified. Building strong interdepartmental relationships is key to effectively minimizing financial risks.
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Fraud Intelligence Analyst jobs near you
Infographic showing various Fraud Intelligence Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $99,864 per year, or $48 per hour.
Fraud Intelligence Analyst II - General Motors Insurance

Fraud Intelligence Analyst II - General Motors Insurance

GM Financial

Fort Worth, TX • On-site

Full-time

Retirement

Posted 11 days ago

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

74th of 170 rated vehicle equipment hire

Job description


Why General Motors Insurance?
Working at General Motors Insurance is a chance to help reinvent what insurance feels like for GM drivers - standing at the intersection of the larger GM enterprise and a growth business focused on safeguarding the GM consumer and their vehicles. Inside the enterprise, General Motors Insurance is a strategic growth initiative, which means your ideas directly shape the blueprint of an emerging business and its momentum.
Powered by unique insights from GM's connected technology, you'll transform vehicle and driving insights into a seamless, connected user experience that rewards safer driving and simplifies every step-from quote to policy servicing to claims.
You'll collaborate across GM's ecosystem of companies, build products and processes at the foundational phase of a rapidly scaling organization, and see your work land in the hands of real customers fast. It's the kind of environment where curiosity and execution thrive together: experiment, iterate, and ship solutions that reduce the total cost of ownership while elevating confidence on the road. Most of all, you'll contribute to a new enterprise business that's creating tangible value for consumers nationwide - showing how insurance, when truly connected, can become a loyal companion to every GM journey.
This position will remain open until filled.
Responsibilities
The Fraud Intelligence Analyst II (FIA - II) will play a critical role in the identification and mitigation of emerging fraud trends targeting General Motors Insurance Company (GMIC) and its platforms. The FIA II will leverage advanced intelligence methodologies, data analysis, and investigative techniques to design, implement, and refine models and tools to detect and prevent fraudulent activity across the GMIC ecosystem.
About the role
  • Analyze intelligence from large datasets to uncover patterns, anomalies, and red flags indicative of fraud
  • Utilize predictive modeling tools to analyze fraud trends and provide insights regarding possible mitigation strategies
  • Serve as subject matter resource regarding auto insurance fraud intelligence and analytics
  • Develop dashboards and real-time monitoring systems to track fraud trends and provide actionable insights to leadership
  • Collaborate with policy analysts, claims adjusters, legal team, and leadership to develop and refine fraud detection decision frameworks with effective alert systems
  • Drive innovation by integrating advanced AI tools and techniques as well as common vendor tools into claims processes to enhance and advance fraud fighting efforts
  • Consistently and proactively identify gaps in fraud detection systems and recommend solutions to increase efficiency and effectiveness
  • Continuously monitor the performance of fraud analytic models (both GMIC-designed and vendor models) to ensure effectiveness as fraud schemes shift and evolve, modifying models to ensure peak performance and limit false positives
  • Assist and consult on claims with red flags, providing desktop investigative assistance
  • Serves as subject matter resource regarding fraud investigations

Qualifications
What makes you a dream candidate?
  • Advanced understanding of current SIU investigation techniques and data analytic methods, including uses and applications of AI-based programs
  • Industry knowledge of leading fraud analytics software and uses of various fraud detection products
  • Detailed knowledge of how to derive actionable insights from data regarding fraud patterns and trends
  • Strong understanding of digital claim workflows
  • Advanced knowledge of techniques used to detect and investigate fraud through the life cycle of an automobile insurance policy
  • Solid working knowledge of state and federal regulations related to insurance fraud
  • Demonstrated data analytics expertise, including use of AI-based programs
  • Demonstrated effectiveness in insurance fraud investigations, including evidence collection, interviewing, and reporting
  • Strong analytical and problem-solving skills with keen attention to detail
  • Ability to work in a rapidly changing start-up environment, building many tools from scratch and/or implementing new vendor tools for the first time
  • Ability to work effectively with cross-functional teams and build strong working relationships
  • Demonstrated ability to present complex technical information clearly and concisely to diverse and sometimes non-technical audiences
  • Excellent project management skills

Experience and Education
  • High School Diploma or equivalent required; Bachelor's Degree preferred
  • 3+ years of Special Investigation Unit (SIU) and/or Major Case investigation experience in auto insurance required
  • 2+ years of professional business analytics experience required
  • 2+ years of experience using SQL and/or Power BI preferred
  • 2+ years of experience in insurance fraud analytics preferred
  • Experience utilizing Claims Fraud Detection platform strongly preferred

Licenses and Certifications
  • Must hold current Property and Casualty (P&C) or Personal Lines License in at least (1) U.S. State or be able to obtain within 30 days of start date

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
#GMFJobs #LI-Remote #LI-CH1
The base range for this role is: $61,000 - $116,000
At GM Financial, we strive for transparency in all aspects of our business, including pay equity. This is the GM Financial pay range for this role and job level. The exact salary and compensation will vary based on factors like knowledge, skills, experience, and education.
This role is eligible to participate in a performance-based incentive plan. Full time employees are eligible to participate in health benefits on day one of employment.

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