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Remote Fraud Analytics Jobs (NOW HIRING)

Overview This is a full-time career opportunity that can be remote. As a trusted subject matter expert representing Fraud Risk Management (FRM), this position manages a team of Fraud Risk Analysts ...

Sr. Fraud Data Analyst

Alpharetta, GA · On-site +1

$94.70K - $157.50K/yr

This role can be remote in the US with the ability to support EST as needed. Responsibilities ... Analytics, or a related field * 5+ years of professional experience in data analysis, fraud ...

Remote - U.S. REPORTS TO: Chief Customer Officer The Company: Sunbit builds financial technology ... Science, Analytics, Product, and Operations. This is an individual contributor role with the ...

Remote - U.S. REPORTS TO: Chief Customer Officer The Company: Sunbit builds financial technology ... Science, Analytics, Product, and Operations. This is an individual contributor role with the ...

Card Fraud Specialist

$84.40K - $85K/yr

... Fraud Analyst. Position Requirements: * This position is Remote. * 1+ years related experience is Required. * Experience in financial institutions is Required. * Self-motivated individual that is ...

Fraud Investigator

Rochester, NY · Remote

$80.45K - $101.43K/yr

This position is remote eligible for up to 40% of the time. The shift is typically Monday - Friday ... Collect and analyze evidence, document findings, and make determinations on fraudulent activities ...

General Application

Melbourne, FL · Remote

$75K - $130K/yr

... Remote, USA $75,000 - $130,000 annually + Benefits Must be a US citizen, No sponsorship available 2-5 years' experience Actionable OutcomesLLC(AO) is a dynamic and innovative Counter Fraud Analytics ...

IT Business Analyst

Melbourne, FL · On-site +1

$130K - $175K/yr

... Remote, USA $130,000 - $175,000 annually + Benefits Must be a US citizen, No sponsorship available 5+ years' experience Actionable Outcomes (AO) is a dynamic and innovative Counter Fraud Analytics ...

This is a remote, U.S.-based individual contributor position. A successful Fraud Sales Specialist ... Analytical, problemsolving, and projectmanagement skills , with organizational discipline and ...

This is a remote, U.S.-based individual contributor position. A successful Fraud Sales Specialist ... Analytical, problem‑solving, and project‑management skills , with organizational discipline and ...

This is a remote, U.S.-based individual contributor position. A successful Fraud Sales Specialist ... Analytical, problem-solving, and project-management skills , with organizational discipline and ...

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Remote Fraud Analytics information

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How much do remote fraud analytics jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote fraud analytics 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 is the difference between Remote Fraud Analytics vs Remote Fraud Prevention Specialist?

AspectRemote Fraud AnalyticsRemote Fraud Prevention Specialist
Primary FocusAnalyzing data to detect and investigate fraud patternsImplementing strategies and actions to prevent fraud
Required SkillsData analysis, statistical tools, fraud detection techniquesRisk assessment, policy enforcement, customer communication
Work EnvironmentData teams, analytics platforms, remote data analysisCustomer service, compliance teams, remote monitoring
Common CertificationsCertified Fraud Examiner (CFE), data analysis certificationsCertified Fraud Examiner (CFE), security certifications

Remote Fraud Analytics focuses on analyzing data to identify potential fraud activities, while Remote Fraud Prevention Specialist works proactively to prevent fraud through policy enforcement and customer engagement. Both roles often collaborate but serve different stages of fraud management.

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Cyber Fraud Risk & Forensics Specialist

Apollo ITS

Boca Raton, FL • Remote

Full-time

Posted 23 days ago


Job description

Job Title: Cyber Fraud Risk & Forensics Specialist
Location: Boca Raton, FL (100% REMOTE)
Duration: 12+ Months (Extendable)
Job description
We're looking for a highly experienced and meticulous Network and Financial Risk Analyst with a strong background in financial controls with a strong background in financial controls, and digital forensics to join our team. The ideal candidate is a strategic thinker who can proactively prevent, detect, and resolve complex fraud schemes while ensuring our systems and processes meet the highest standards for protecting sensitive data.
Complexity: Intermediate professional level role. Develop security solutions for medium to high complex assignments. Works on multiple projects as a team member and may also lead systems related. May coach junior level technical staff. Develops, evaluates and maintains systems that help detect and prevent suspicious transactions from being run and tested within the payment application. Requires technical expertise in risk management tools, forensics (gathering of evidence, presentation, chain of custody, etc.), combined management tools, forensics (gathering of evidence, presentation, chain of custody, etc.) with knowledge of industry best practices and procedures. Assists in the development and implementation of financial controls that will deter and prevent fraudulent activity. Prepares status reports on security matters and develops security risk analysis scenarios and response procedures regarding suspected payment card and banking fraudulent transactions.
Responsibilities
  • Lead and conduct in-depth investigations into suspected payment card fraud and other financial crimes, from initial detection to final resolution.
  • Utilize advanced digital forensic techniques to acquire, preserve, and analyze digital evidence from various sources to support investigations and root cause analysis.
  • Monitor and analyze transaction data, user behavior, and security alerts from SIEM ( "Security Information and Event Management") and fraud detection systems to identify suspicious patterns and indicators of compromise.
  • Implement a monitoring system to identify at a minimum:
  • Unusual spikes in failed payment transaction attempts. o High volume of low-value transactions from the same IP or device on single credit cards.
  • Multiple transactions in quick succession utilizing different credit cards but originating from the same IP, device fingerprint, or session ID.
  • Perform Log & SIEM Analysis for web and payment logs to detect at a minimum:
o Burst patterns.
o Consistent failed authorizations.
o Repeated use of credit card data.
  • Enable alerting on anomalies such as:
o Transaction volume per minute/hour.
o Failure rate thresholds.
  • Collaborate with internal and external teams, including legal, compliance, and law enforcement, to manage investigation cases and provide expert testimony or detailed reports as needed or required.
  • Conduct forensic readiness assessments and contribute to the development of the incident response plan to ensure the business enterprise can effectively respond to a data breach.
  • Mentor junior analysts and stay current with the latest fraud tactics, cyber threats and security technologies.
Requirements
  • 8-10 years of progressive experience in cybersecurity, with a focus on payment fraud detection, resolution, and digital forensics.
  • Demonstrated expertise in security best practices, risk analysis approaches and their practical application.
  • Familiarity with ISO, CIS, NIST, CSF and SCF frameworks and security controls.
  • Proven experience with forensic tools and applications (e.g., EnCase, FTK, or similar).
  • Strong analytical skills, with a track record of using data analysis tools (e.g., SQL, Python, other scripting languages) to investigate complex financial fraud schemes.
  • Excellent written and verbal communication skills, capable of producing detailed reports and presenting findings to technical and non-technical audiences, including executive leadership.
  • Certifications such as Certified Fraud Examiner (CFE), Certified Payments Professional (CPP), and Certified Anti-Money Laundering Specialist (CAMS) are highly preferred.
  • Bachelor's or Master's degree in Cybersecurity, Computer Science, or a related field