Enterprise Role Overview:
Assists with analysis to help advise the enhancement of fraud controls and improvement of proactive security controls to prevent external threat actors from compromising customer information, company information or systems. Conducts research and provides leadership updates regarding advanced attempts/efforts to compromise customers or clients. Provides status updates and recommendations to the leadership team regarding new attack trends, impact of fraud or money laundering. Follows standard practices and procedures in analyzing situations or data. Typically has 1-3 years of relevant experience and will act as an individual contributor.
Maintain an operational understanding of social engineering techniques and tradecraft, including familiarity with latest attack trends
Manage operational risks related to ongoing social engineering disruption and response actions and implement mitigation steps
Review collected technical data to identify potential indicators of threat activity, and evaluate threats for response options
Assess third party communications and motivations, identify social engineering tradecraft and guide response activities
Prepare in-depth threat activity reports detailing social engineering activities, identified indicators, victim identification, and other relevant essential elements of information (EEIs)
Apply active defense models to Deny, Degrade, Disrupt, and Deter (4D) threat actors’ efforts
Ensure latest approved social engineering tradecraft is being employed correctly and legally
Identify novel social engineering tradecraft for inclusion in GIS threat reporting
Coordinate cyber-crime disruption efforts, integrating global teams and operations groups managing complex problem sets
Enable cross-functional stakeholders to identify gaps, develop solutions, and facilitate implementation
Establish trusted relationships with key cross-functional business partners including multiple product teams, regional offices, and support functions
Leverage knowledge of information security principles to mitigate financial crime and cyber-crime related activities
Lead collaboration with peers, industry associations, law enforcement, and other trusted groups
Build strategic partnerships across the company to reduce operational exposure to cyber-crime
Must be comfortable delivering messages across a wide spectrum of individuals having varying degrees of technical understanding
Prepare and present on social engineering threat activities relative to company customers and clients
Required Qualifications:
Experience with transactional data and data analytics.
3+ years of experience in a technical role in the areas of Fraud detection, Threat hunting. Security Operations, Incident Response, Detection Engineering, DevSecOps, Security Engineering, and/or Cyber Threat Intelligence.
Direct experience working with various data management systems that include but are not limited to: IBM DB2, SQL Server, Python, Azure Cosmos DB, Hadoop, Teradata, Oracle, MySQL (MariaDB), and MongoDB,
Proficiency in the Python programming language including a solid understanding of object-oriented programming, data classes, test-driven development, performance testing, and continuous integration/development.
Proficiency with various Python data analytics and visualization libraries, frameworks, and tools that include but are not limited to: Pandas, NumPy, scikit-learn, matplotlib, seaborn, d3, and JupyterHub.
Experience explaining complex ideas, methods, processes, and workflows to peers and management.
Ability to drive large projects while dealing with competing requirements, priorities, and needs from across the organization in order to drive results.
Ability to navigate and work effectively across a complex, geographically dispersed organization.
Basic statistical knowledge and reasoning
Experience with OSINT, killchains, social engineering and general methods.
This job will be open and accepting applications for a minimum of seven days from the date it was posted.
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