Fraud Investigation Analyst

ASSYST is looking for a highly experienced and meticulous Network and Financial Risk Analyst with a strong background in financial controls and digital forensics to support  our government customer based in Ocoee, FL.  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.

Title: Network and Financial Risk Analyst
This is an onsite position
Location: Ocoee, FL

Scope of work:

• 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, (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.
  • 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:

• • Burst patterns.
  • Consistent failed authorizations.
  • Repeated use of credit card data.

Enable alerting on anomalies such as:

• • Transaction volume per minute/hour.
  • 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.

Preferred Certifications:

• Certified Fraud Examiner (CFE),
• Certified Payments Professional (CPP),
• Certified Anti-Money Laundering Specialist (CAMS)
• Bachelor’s or Master's degree in Cybersecurity, Computer Science, or a related field.

ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law