SPCS Fraud protection Engineer

• Fraud Detection & Prevention
• 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.
• Risk Analysis & Investigation
• 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.
• Incident Response & Mitigation
• 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.