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Fraud Detection Analyst Jobs (NOW HIRING)

Globe Telecom, Inc.

Fraud Operation Analyst

Globe, AZ · On-site

Detection: Monitor transactional activities and perform timely detection of potential fraudulent behavior across sales and after-sales processes. Perform monitoring, detection, and analysis of ...

BOK Financial

Fraud Prev & Detect Lead

Fort Worth, TX · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Austin, TX · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Plano, TX · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Tulsa, OK · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Albuquerque, NM · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Santa Fe, NM · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Mesa, AZ · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Phoenix, AZ · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Houston, TX · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Irving, TX · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Phoenix, AZ · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Mesa, AZ · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

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Fraud Detection Analyst information

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How much do fraud detection analyst jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for fraud detection analyst in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What are some common challenges faced by Fraud Detection Analysts, and how can they be overcome?

Fraud Detection Analysts often face the challenge of keeping up with evolving fraud tactics and large volumes of data. Staying updated on the latest fraud trends and continuously learning about new detection technologies are crucial to success in this role. Collaboration with IT, compliance, and customer service teams also helps in quickly identifying and responding to suspicious activity. Regular training and effective communication within the team can significantly improve detection accuracy and response times.

What is the salary of a fraud analyst?

The average salary of a fraud detection analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and the size of the organization. Entry-level roles may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many fraud analysts also receive benefits such as bonuses and health insurance.

Will the fraud analyst be replaced by AI?

Fraud detection analysts play a critical role in analyzing complex patterns and making judgment calls that AI currently cannot fully replicate. While AI tools assist in automating routine tasks and identifying potential fraud, human analysts are essential for interpreting nuanced cases and making final decisions, ensuring accuracy and compliance.

How to become a fraud detection analyst?

To become a fraud detection analyst, candidates typically need a bachelor's degree in finance, accounting, or a related field. Developing skills in data analysis, familiarity with fraud detection tools, and understanding of financial transactions are important; certifications like Certified Fraud Examiner (CFE) can also enhance prospects.

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

To thrive as a Fraud Detection Analyst, you need strong analytical skills, attention to detail, and a background in finance, mathematics, or a related field. Familiarity with data analysis software, fraud management systems, and sometimes certifications like Certified Fraud Examiner (CFE) are typically required. Strong problem-solving abilities, effective communication, and integrity are crucial soft skills for success in this position. These skills help ensure accurate identification of fraudulent activity, minimize financial losses, and maintain organizational trust.

What does a fraud detection analyst do?

A fraud detection analyst investigates and identifies fraudulent activities by analyzing transaction data, patterns, and behaviors. They use tools like data analysis software and may develop or implement fraud detection models to prevent financial losses. Strong analytical skills and knowledge of fraud schemes are essential for this role.
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Fraud Detection Analyst jobs near you
Infographic showing various Fraud Detection Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.
Transaction Fraud Analytics (Senior Fraud Risk Analyst)

Transaction Fraud Analytics (Senior Fraud Risk Analyst)

Atlanticus Holdings Corporation

Atlanta, GA • On-site

Other

Posted 4 days ago

Job description

Job Description
  • Title: Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst)
  • Location: Atlanta, GA (Hybrid)
  • Department: Risk Management/Fraud Prevention

Responsibilities:
  • Develop and implement fraud detection models using advanced analytics and machine learning techniques.
  • Monitor real-time transaction data to identify and flag potentially fraudulent activities.
  • Conduct root cause analysis of fraud incidents and recommend preventive measures.
  • Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes.
  • Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments.
  • Ensure compliance with regulatory requirements and industry standards related to fraud prevention.
  • Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities.

Qualifications:
  • Bachelor's or master's degree in data science, Statistics, Finance, or a related field.
  • 5+ years of experience in fraud analytics, data analysis with at least 3 being in transaction fraud, preferable credit cards.
  • Should have experience in working on Fiserv related systems.
  • Proficiency in data analytics tools such as SQL, Python, R, or SAS.
  • Experience with transaction monitoring systems and fraud detection platforms.
  • Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes.
  • Excellent problem-solving, analytical, and communication skills.
  • Needs experience with Advance Defense Edge

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