Senior Security Engineer

Seeking a talented and motivated Senior Security Engineer.

In this role, you will leverage your engineering expertise and security knowledge to develop and implement innovative solutions to combat fraud attempts.

Responsibilities:

• Design, develop, and deploy security solutions to prevent, detect, and investigate fraudulent activity.
• Analyze fraud trends and patterns to identify new threats and vulnerabilities.
• Develop and maintain security rules and monitoring processes for fraud detection.
• Conduct proactive security assessments and penetration testing to identify potential fraud vectors.
• Stay up-to-date on the latest anti-fraud techniques and technologies, including machine learning and data analytics.
• Collaborate with cross-functional teams (Security Operations, Engineering, Product) to integrate anti-fraud solutions into existing systems.
• Document security procedures and best practices.
• Assist in incident response activities related to fraud attempts.
• Participate in threat intelligence sharing to stay ahead of evolving fraud tactics.
• Foster a culture of security awareness within the organization.

Qualifications:

• Bachelor's degree in Computer Science, Information Security, or a related field (required).
• Minimum 5 years of experience in a security engineering role, with a focus on anti-fraud (preferred).
• Proven experience in developing and deploying security solutions.
• Strong understanding of common fraud techniques and schemes (e.g., account takeover, payment fraud).
• Experience with offensive security methodologies (penetration testing, social engineering).
• Experience with scripting languages (Python, Bash) and security tools (SIEM, threat intelligence platforms).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Bonus Points:

• Experience working in a security role within a relevant industry (e.g., fintech, e-commerce, internet companies).
• Experience with machine learning and data analytics for fraud detection.
• Experience with cloud security platforms (AWS, Azure, GCP).
• Security certifications (e.g., CISSP, OSCP).

Argyll Scott Singapore Pte Ltd
EA License No. 16S8105
Koh Ching Wen (Xu Jingwen)
EA Reg No: R1108631