SPCS Fraud protection Engineer

Squadio; Riyad Al Khabra; On-site; SAR 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a Fraud Detection Specialist to enhance their security measures against financial fraud. In this dynamic role, you will develop and implement advanced fraud detection systems, collaborate with data scientists to build machine learning models, and conduct thorough investigations of suspicious activities. You will have the opportunity to work with cutting-edge technologies and contribute to the development of robust fraud prevention policies. This position offers hybrid or remote work options, competitive salary, and the chance to make a significant impact in the fight against fraud in digital transactions.

Benefits

Hybrid or remote work options

Competitive salary and benefits

Opportunity to work with cutting-edge technologies

Collaboration with cross-functional teams

Qualifications

• Experience in fraud detection and risk management is essential.
• Strong analytical skills and familiarity with fraud detection tools are required.

Responsibilities

• Develop and implement fraud detection systems to identify suspicious activities.
• Conduct in-depth investigations of suspicious transactions and accounts.

Skills

Fraud Detection

Risk Management

Machine Learning

Python

SQL

Cybersecurity

Data Analytics

Problem-Solving

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Cybersecurity

Bachelor’s degree in Data Science

Tools

IBM Safer Payments

ThreatMetrix

Riskified

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.

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.