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
