Job description
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.
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.
