Start Date
Immediate
Expiry Date
22 Jul, 25
Salary
0.0
Posted On
22 Apr, 25
Experience
10 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Cissp, Fraud Detection, Security Operations, Access
Industry
Information Technology/IT
REQUIRED QUALIFICATIONS:
10+ years in cybersecurity roles within banking/financial services
5+ years hands-on experience with Fraud/AML systems and technologies
Proven experience integrating third-party data sources including:
Dark web monitoring platforms
Threat intelligence feeds
Credential breach databases
Identity verification services
Deep technical knowledge of:
API security and data integration patterns
Threat intelligence platforms
Identity and access management systems
Experience with AI/ML applications in cybersecurity and fraud detection
Familiarity with Agentic AI concepts and applications in security operations
Relevant certifications (CISSP, CISM, CEH, or similar)
Job Type: Contract
Pay: From $70.00 per hour
Schedule:
Work Location: In perso
Design and implement cutting-edge Fraud & AML security architectures incorporating Agentic AI, machine learning, and dark web intelligence
Develop data integration frameworks for 3rd party threat intelligence sources including dark web monitoring tools, breach databases, and illicit marketplace trackers
Create advanced cyber-fraud detection models leveraging combined internal and external data signals
Implement security controls to mitigate risks identified through dark web intelligence (stolen credentials, compromised accounts, synthetic identities)
Design automated threat intelligence pipelines that enrich Fraud/AML systems with dark web findings
Develop strategies to counter emerging dark web-enabled fraud tactics (account takeovers, money mule networks)
Ensure compliance with global financial regulations while implementing innovative security solutions
Conduct security assessments of third-party data providers and integration points
Collaborate with cyber threat intelligence teams to operationalize dark web findings into fraud prevention systems