Senior Threat Modeler

Technical skills

• Expected to have two to five years of experience in several of the following:
• IT experience minimum of 6 years with minimum of 4 years Cybersecurity/Information Security – must have.
• Threat Modeling (STRIDE, PASTA, Attack trees, tooling, Att&ck) – must have demonstrated experience.
• Experience working in a cybersecurity role – must have.
• Security practices pertaining to authentication, authorization, logging/monitoring,  encryption, infrastructure security, network/segmentation – must have.
• Scripting languages, Infrastructure as Code (Terraform, CloudFormation) – must have.
• Jira or other ticketing systems – must have.
• Design and review technical architectures – must have.
• Strong proficiency in Programming Languages, with a preference for Python (asynchronous programming), and FastAPI (must have).
• Unit Testing: Developing and executing unit tests using frameworks like Pytest to ensure code quality (must have).
• Ensure all software platforms adhere to Citi's security standards and Software Development Life Cycle (SDLC) processes (must have).
• Identifying vulnerabilities using CWE or OWASP.
• Operating systems and their hardening.
• Development concepts (such as: CICD, Pipelines, SDLC).
• Cloud Development Kit (CDK), GitOps.
• Operating in a DevOps / agile team structure.
• Understanding of docker/K8S/serverless/helm.
• Support or perform pen testing.
• Snowflake/MongoDB/Terraform Cloud/GitHub/Databricks.
• Karat Assessment (Python focus) is required for consideration.

Roles & Responsibilities

• Threat Modeling using a documented process. 
• Development of automation tools as required. 
• Maintain a high standard of work in identifying threats and specifying mitigating controls. 
• Attending to the lifecycle of identified threats and controls. 
• Delivery of threat models and supporting tasks within existing timeframes. 
• Provide feedback, support, and improvements to the existing threat modeling process. 
• Present work to seniors, the team, and other technical teams. 
• Work with little supervision to complete work.
• Develop, test, and deploy secure and efficient Python-based applications, adhering to established SDLC processes and quality standards.

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