Lead Cybersecurity Consultant - Fraud & AML Solutions

Cybersecurity Consultant - Fraud & AML Solutions
Location: [Remote/Hybrid/On-site]
Experience: 10 years in cybersecurity with banking/financial services focus
Duration: 6 months

Job Summary:
We are seeking an accomplished Cybersecurity Consultant to architect advanced Fraud and AML solutions for global banking institutions. This role requires a unique blend of cybersecurity expertise, dark web intelligence, and AI-driven security innovation to combat sophisticated financial crimes. The ideal candidate will design systems that integrate Agentic AI capabilities with comprehensive threat intelligence from diverse external sources, including dark web monitoring platforms.

Key Responsibilities:

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

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)

Preferred Skills:

Experience with dark web research tools and techniques

Understanding of financial crime typologies and money laundering techniques

Programming/scripting skills for security automation (Python, SQL)