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Fraud Risk Analyst Jobs (NOW HIRING)

Intuit

Staff Fraud & Risk Analyst

New York, NY · On-site

$176K - $238K/yr

We are seeking a Staff Fraud & Risk Analyst to join the Risk organization as a strategic analytics partner bridging Risk Policy, Risk Operations, and Finance. This role is the analytical backbone for ...

Intuit

Staff Fraud & Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

We are seeking a Staff Fraud & Risk Analyst to join the Risk organization as a strategic analytics partner bridging Risk Policy, Risk Operations, and Finance. This role is the analytical backbone for ...

Intuit

Staff Fraud and Risk Analyst - Fintech

New York, NY · On-site

$168K - $228K/yr

As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you ...

Citizens Bank

Fraud Risk Analytics Manager

Johnston, RI · On-site

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customer-centric risk frameworks

Travis Credit Union

Sr. Risk Analyst

Vacaville, CA · On-site

$98K - $121K/yr

Assesses fraud risk trends and patterns to develop proactive prevention strategies leveraging predictive analytics. * Performs root-cause analysis to identify vulnerabilities in processes or systems.

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How much do fraud risk analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for fraud risk analyst in the United States is $43.31, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $53.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a fraud risk analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What does a fraud risk analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.

How much does a fraud risk analyst get paid?

The average salary for a fraud risk analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often supplemented with bonuses or benefits.

How do you become a fraud risk analyst?

To become a fraud risk analyst, candidates typically need a bachelor's degree in finance, accounting, or a related field. Relevant skills include data analysis, knowledge of fraud detection tools, and understanding of financial regulations; certifications like Certified Fraud Examiner (CFE) can enhance prospects.

What are some common challenges faced by fraud risk analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.
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Fraud Risk Analyst jobs near you
Infographic showing various Fraud Risk Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $90,079 per year, or $43.3 per hour.

Transaction Fraud Analytics (Senior Fraud Risk Analyst)

Atlanticus Holdings Corporation

Atlanta, GA • On-site

Other

Re-posted 6 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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