How to Write a CV in 2025: A Step-by-Step Guide to Stand Out
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SPCS Fraud protection Engineer
Company: Squadio
Job Location: Riyadh, Riyadh Province, Saudi Arabia
Job Type: FULL_TIME - (ON_SITE)
Date Posted: April 06, 2025
External
Apply Now- 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.
The only thing worse than starting something and failing… is not starting something.
“Seth Godin”
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