Fraud Protection Engineer

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Squadio

πŸ“Remote - Saudi Arabia

Summary

Join our team as a Fraud Detection & Prevention specialist and play a crucial role in safeguarding our systems and users from financial fraud. You will develop and implement cutting-edge fraud detection systems, investigate suspicious activities, and collaborate with cross-functional teams. Responsibilities include designing and maintaining fraud prevention tools, analyzing fraud trends, and ensuring compliance with industry regulations. This role requires a Bachelor's degree in a related field, experience in fraud detection or cybersecurity, and proficiency in programming languages. Preferred qualifications include relevant certifications and experience with AI/ML-driven fraud detection models. We offer a hybrid or remote work environment and competitive benefits.

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

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
  • 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
  • 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

Preferred Qualifications

  • 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

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

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