eCrime Lead Artificial Intelligence Solution

Key Skills

Aartificial intelligence, Cyber Security, Leadership, Military experience, Python Programming, Training & Development

Job Description

About this role:

Wells Fargo is building an exciting new cross-functional team to proactively detect and rapidly respond to emerging eCrime threats and cyber-enabled financial crimes. This multidisciplinary team will require diverse expertise across cyber security threat detection and response, offensive cybercrime security research, complex financial crime investigations (fraud, Anti-Money Laundering), fraud strategies, data science, and operations. The mission is to mitigate fraud losses and operational expenses while protecting customers and clients. Aligned to the primary attack vectors, the team will drive forward the development of cutting-edge analytics and data collection methodologies to improve the detection and prevention of financial crimes with a nexus to fraud.

Responsibilities:

eCrime Monitoring (Intelligence & Threat Mitigation) - Collect external data to prevent fraud and mitigate eCrime threats (OSINT, surface level intelligence, dark web). Partner with Cyber to monitor known online criminal forums, collect compromised accounts, manage attribution strategies and map out criminal infrastructure and services.

eCrime Threat Hunting and Analytical Research - Proactively identify eCrime indicators and prevent fraud by leveraging advanced data analytics. - Perform analytical research to detect patterns and features associated with active attacks, including tactics, techniques, and procedures (TTPs). Enhance the organization's ability to detect and prevent cyber-enabled financial crimes with a nexus to fraud. Develop new signals and rapid prototypes to mitigate fraud losses and cybercrime exposure.

Client Threat Mitigation (Assessments & Testing) - Assess criminal enablement tools/services, develop new fingerprint and detection capabilities, conduct advanced threat simulations and perform cybercrime control test, including fraud strategies, business/product rules, replication of known criminal techniques and procedures.

Integrated-Channel Mgmt - Join bridge calls to report findings, present solutions, and provide expert assistance with the overall incident management lifecycle. Partner w/ key stakeholders, lead implementation of projects and drive innovation, Lead law enforcement and external engagements; including disruption operations and collaboration with the National Cyber Forensics and Training Alliance (NCFTA) partners.

In this role, you will:

• Be part of a team that will identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Mitigate fraud losses and operational expenses by improving mean-time-to-detect (MTD)
• Develop rapid prototypes to build tactical solutions that mitigate emerging threats and cyber-enabled financial crimes.
• Partner with Engineering on deploying production-ready/scalable capabilities.
• Build an Enterprise-wide service by partnering with internal key stakeholders.
• Drive efficiency, automation, and collaboration across relevant horizontal processes.
• Detect account patterns and features linked to Crime-as-a-Service enablers and cybercriminal tactic, techniques, and procedures.
• Develop a deep understanding of internal systems that could be exploited by criminals to commit fraud

Required Qualifications, US:

5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Security orchestration automation and response experience
• Fraud focused threat hunting across multiple payment channels and platforms
• Data science and advanced analytics (python a plus)
• Cyber threat mitigation and incident response (common collection techniques and defender tools)
• Working as a cyber/fraud analyst with background using techniques like device related information, network related information.