SPCS Fraud protection Engineer

4 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Squadio Full time

Job Responsibilities:

  • Develop and implement fraud detection systems to identify suspicious activities in real time.
  • Monitor transaction data and user behavior to detect anomalies and potential fraud attempts.
  • Collaborate with data scientists to build machine learning models for fraud detection.
  • Conduct in-depth investigations of suspicious transactions, accounts, and system activities.
  • Analyze fraud trends, attack vectors, and threat intelligence to stay ahead of fraudsters.
  • Work with compliance teams to report fraudulent cases and implement security measures.

System Development & Automation:

  • Design and maintain fraud prevention tools, automated alerts, and response mechanisms.
  • Implement AI/ML algorithms to enhance fraud detection accuracy and reduce false positives.
  • Integrate fraud protection solutions with payment gateways, authentication systems, and security frameworks.

Security & Compliance:

  • Ensure compliance with industry regulations and standards such as PCI-DSS, GDPR, and AML laws.
  • Assist in developing fraud prevention policies and security best practices.
  • Collaborate with legal and risk teams to ensure proper fraud reporting and compliance adherence.
  • Respond to fraud incidents, coordinate investigations, and implement corrective actions.
  • Work with cybersecurity teams to mitigate risks and enhance fraud protection measures.
  • Maintain and improve incident response procedures for fraud-related cases.

Requirements:

  • Bachelor's degree in Computer Science, Cybersecurity, Data Science, or a related field.
  • Experience in fraud detection, risk management, or cybersecurity.
  • Knowledge of fraud detection methodologies, machine learning models, and risk assessment techniques.
  • Proficiency in programming languages such as Python, SQL, or Java.
  • Familiarity with data analytics, anomaly detection, and behavioral analysis.
  • Understanding of financial fraud, payment systems, and digital transactions.
  • Strong problem-solving and analytical skills.
  • Experience with fraud detection tools (e.g., IBM Safer Payments, ThreatMetrix, Riskified).
  • Preferred: Certifications such as Certified Fraud Examiner (CFE) or Certified Information Systems Security Professional (CISSP).
  • Experience with AI/ML-driven fraud detection models.
  • Knowledge of blockchain and cryptocurrency fraud prevention.
  • Understanding of financial regulations and compliance requirements.

Work Environment & Benefits:

  • Hybrid or remote work options.
  • Competitive salary and benefits.
  • Opportunity to work with cutting-edge fraud detection technologies.
  • Collaboration with cross-functional teams in cybersecurity, compliance, and data science.
Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology

Industries

Technology, Information and Internet

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