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Senior Fraud Intelligence Jobs (NOW HIRING)

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Additionally, the Senior Fraud Analysts will help develop new fraud risk reporting utilizing business intelligence. Responsibilities * Demonstrate end-to-end ownership of fraud analytics, including ...

PlayStation Global

Senior Fraud Strategist

San Mateo, CA · On-site

$191K - $287K/yr

... and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and ... We are seeking a Senior Fraud Strategist who is passionate about protecting our players and ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

To learn more, visit Senior Fraud Investigations Analyst Role Overview ID.me is looking for a ... intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks ...

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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 29, 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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Senior Fraud Intelligence jobs near you
Infographic showing various Senior Fraud Intelligence job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Senior Fraud Investigations Analyst

Senior Fraud Investigations Analyst

ID.me

Mclean, VA

Other

Posted 16 days ago

Key responsibilities

  • Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity.

  • Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns.

  • Identify gaps in detection logic and contribute to improvements in rules, models, and workflows.

ID.me rating

6.3

Company rating: 6.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

168th of 192 rated software companies

Job description

Senior Fraud Investigations AnalystRole Overview

ID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies.

We are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making.

This role is based out of our McLean, VA office and requires full-time in-office attendance.

Responsibilities
  • Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity
  • Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns
  • Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations
  • Independently own investigations from detection through resolution, including clear documentation and recommendations
  • Identify gaps in detection logic and contribute to improvements in rules, models, and workflows
  • Partner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality
  • Act as an escalation point for high-severity or ambiguous fraud cases
  • Develop and refine investigation playbooks and analytical approaches for ATO detection
  • Support reporting and analysis of fraud trends, detection performance, and operational metrics
  • Leverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data
Basic Qualifications
  • Bachelor's degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4-8 years total experience; candidates should have <10 years overall)
  • 2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations
  • 2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Demonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)
  • Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively
Preferred Qualifications
  • Experience at a fintech company, technology company, or reputable financial institution 
  • Strong experience analyzing organized fraud rings or large-scale ATO campaigns
  • Experience influencing fraud detection logic, models, or rule systems
  • Familiarity with AI/ML techniques applied to fraud detection and risk analysis
  • Ability to translate analytical findings into actionable improvements for product, engineering, or risk systems

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