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Senior Fraud Intelligence Jobs (NOW HIRING)

Sr. Fraud Data Analyst

Alpharetta, GA · On-site +1

$94K - $157K/yr

The Sr Fraud Analyst will be responsible for providing investigative and analytical support our ... Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support ...

Senior Fraud Strategy Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

They are seeking a Senior Fraud Strategy Data Analyst to analyze fraud risks and develop strategies ... intellectual curiosity, and a bias toward action in ambiguous problem spaces. Preferred : • A ...

Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data). * Design and execute tests to evaluate fraud strategies and improve ...

Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data). * Design and execute tests to evaluate fraud strategies and improve ...

Fraud Researcher

San Francisco, CA · On-site

$139K - $191K/yr

As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied ... intelligence into actionable insights * Strong communication: ability to explain complex, ambiguous ...

Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data). * Design and execute tests to evaluate fraud strategies and improve ...

The OSINT Program Manager is a member of the Fraud Intelligence Team within the Bank Fraud ... senior management. Innovation & Continuous Improvement : Stay abreast of the latest OSINT trends ...

The OSINT Program Manager is a member of the Fraud Intelligence Team within the Bank Fraud ... senior management. Innovation & Continuous Improvement : Stay abreast of the latest OSINT trends ...

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... You will also help shape the next generation of fraud intelligence by leveraging Graph Neural ...

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... You will also help shape the next generation of fraud intelligence by leveraging Graph Neural ...

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... You will also help shape the next generation of fraud intelligence by leveraging Graph Neural ...

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... You will also help shape the next generation of fraud intelligence by leveraging Graph Neural ...

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... You will also help shape the next generation of fraud intelligence by leveraging Graph Neural ...

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Senior Fraud Intelligence information

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How much do senior fraud intelligence jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for senior fraud intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What does a Senior Fraud Intelligence professional do?

A Senior Fraud Intelligence professional analyzes complex data to detect, prevent, and respond to fraudulent activities within an organization. They use advanced analytical tools and investigative techniques to identify suspicious patterns and collaborate with law enforcement or internal teams to mitigate risks. Their responsibilities often include developing anti-fraud strategies, conducting in-depth investigations, and providing actionable intelligence to protect the company from financial loss.

What are the main challenges faced by a Senior Fraud Intelligence professional, and how can they be addressed?

A Senior Fraud Intelligence professional often faces challenges such as rapidly evolving fraud tactics, managing large volumes of data, and staying ahead of increasingly sophisticated threats. To address these, it is essential to continually update analytical skills, leverage advanced technologies such as machine learning, and collaborate closely with cross-functional teams including IT, legal, and compliance. Regular training, knowledge sharing, and proactive threat monitoring are also key strategies to maintain effective fraud prevention and detection.

What is the difference between Senior Fraud Intelligence vs Fraud Analyst?

AspectSenior Fraud IntelligenceFraud Analyst
CredentialsBachelor's degree, certifications like CFE or ACFE often preferredSimilar educational background, often with certifications
Work EnvironmentStrategic, analytical, often involved in threat assessment and intelligence gatheringOperational, investigative, focused on transaction monitoring and case analysis
Employer & IndustryFinancial institutions, e-commerce, insurance companiesSame industries, typically entry to mid-level roles
Search & Comparison IntentUnderstanding senior-level responsibilities and qualificationsEntry to mid-level fraud detection and investigation roles

Senior Fraud Intelligence professionals focus on strategic analysis, threat assessment, and intelligence gathering to prevent fraud at an organizational level. Fraud Analysts handle day-to-day investigations, transaction monitoring, and case resolution. While both roles require similar credentials and industry experience, Senior Fraud Intelligence roles involve higher-level strategic planning and leadership, whereas Fraud Analysts focus on operational tasks.

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

To thrive as a Senior Fraud Intelligence Analyst, you need expertise in fraud detection, risk assessment, data analysis, and typically a degree in a related field such as finance, criminology, or cybersecurity. Familiarity with fraud management software, data analytics tools like SQL or Python, and relevant certifications (e.g., CFE—Certified Fraud Examiner) are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you identify threats and collaborate with stakeholders. These skills ensure accurate identification of fraudulent activities and the implementation of strategies to protect organizations from financial and reputational harm.
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Infographic showing various Senior Fraud Intelligence job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Sr. Fraud Data Analyst

Sr. Fraud Data Analyst

RELX

Alpharetta, GA • On-site, Remote

$94K - $157K/yr

Full-time

Posted 26 days ago


Job description

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Government vertical, our solutions assist government agencies and law enforcement to drive insights from complex data sets, improving operation efficiency, increasing program integrity, discovering, and recovering revenue, and making timely and informed decisions to enhance investigations. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/government

About the Job:

The Sr Fraud Analyst will be responsible for providing investigative and analytical support our clients, leveraging all of LexisNexis Risk Solutions products and Services. This position will be an individual contributor reporting to the Civilian SIU Sr Manager.

This role can be remote in the US with the ability to support EST as needed.

Responsibilities:

  • Design and implement methodologies to gather, analyze, and continuously assess risk using customer data and LexisNexis public records, supporting government entities in identifying and mitigating fraud risk within the Social Services domain

  • Analyze online transactional data to validate expected performance, identify trends and anomalies, and generate actionable insights for internal and external stakeholders, including detection of suspicious or potentially fraudulent behavior

  • Evaluate large-scale batch datasets to support quality control (QC) processes, identify patterns and trends, and surface actionable leads to ensure optimal solution performance

  • Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support customer-driven fraud investigations

  • Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis

  • Partner with Sales and Solution teams to provide pre- and post-sale support, including solution design, product education, implementation guidance, and best practices

  • Manage and strengthen customer relationships through ongoing analysis and insights delivered throughout the lifecycle of engagements

  • Develop and contribute to customer-facing presentations, translating complex analytical findings into clear, compelling narratives

  • Research and recommend alternative approaches to help customers achieve cost-effective and optimized solutions

  • Investigate and resolve data quality and QC issues, ensuring accuracy and reliability of outputs

  • Identify and drive process improvement opportunities to enhance analytical efficiency, scalability, and quality

  • Lead or contribute to special projects and strategic initiatives as assigned

Requirements:

  • Bachelor's degree in Intelligence, Criminal Justice, Fraud Analysis, Data Analytics, or a related field

  • 5+ years of professional experience in data analysis, fraud investigation, or intelligence analysis; prior experience supporting government clients preferred

  • Proficiency in data analysis and visualization tools, including Excel, Power BI, and PowerPoint

  • Experience with programming and querying languages, such as SQL (e.g., MySQL), Python, or R

  • Strong analytical and critical thinking skills, with a demonstrated ability to apply structured logic to complex problems

  • Demonstrated research and investigative skills, including the ability to synthesize information and resolve ambiguous issues

  • Experience working with large-scale datasets and customer-facing analytic solutions

  • Strong organizational, prioritization, and project management skills, with the ability to manage multiple workstreams effectively

  • Excellent interpersonal and communication skills, with the ability to engage both technical and non-technical stakeholders

  • Self-motivated and adaptable, with the ability to work both independently and collaboratively in a team environment

  • Experience with OSINT techniques and tools preferred

  • Familiarity with LexisNexis solutions or similar data platforms preferred

  • Willingness to travel up to 25%

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $78,800 - $131,300. Base Pay Range for IL is $82,800 - $137,800. Base Pay Range for Chicago, IL is $86,700 - $144,400. Base Pay Range for MD is $82,800 - $137,800. Base Pay Range for NY is $86,700 - $144,400. Base Pay Range for New York City is $94,700 - $157,500. Base Pay Range for Rochester, NY is $78,800 - $131,300. Base Pay Range for OH is $74,900 - $124,700. Base Pay Range for NJ is $89,012- $142,188. This job is eligible for an annual incentive bonus. Application deadline is 08/01/2026.

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