ANALYGENCE is pursuing an opportunity to provide support to DHS CISA JCDC (Joint Cyber Defense Collaborative) in creating strategies, processes, procedures, capabilities, and tools to develop and implement cyber planning. This position will support the JCDC Planning Office's risk analysis and risk prioritization function.

• Support the development of risk analysis models, tools, and methodologies to enable risk prioritization.
• Support the development of standard risk analysis policies, standard operating procedures, and similar documents to ensure standardized approaches across the JCDC Planning Office.
• Support the development of risk analysis processes and procedures that incorporate data and capabilities from other CISA offices, USG partners, and nonfederal partners.
• Maintain a comprehensive understanding of how risk analysis can inform JCDC Planning Office efforts.
• Identify and collect requirements to support the development of roadmaps, strategies, or plans for analytic tools, software, and platforms.
• Support the development of methodologies, policies, and procedures for assessing the risk reduction impact of JCDC Planning Office planning and operations.
• Identify existing information and production efforts on cyber threats, vulnerabilities, and consequences.
• Prepare recommendations to fill analytic gaps and support risk prioritization.
• Provide data science expertise to support data integration efforts.
• Coordinate with CISA Intel and IC partners, including DHS Intelligence and Analysis, to incorporate intelligence into JCDC plans.
• Monitor intelligence products for the relevance to cyber defense operations and develop recommendations for how to incorporate this intelligence into cyber defense plans and operations.

• TS/SCI Clearance required
• Minimum of 8 years of experience using cyber threat intelligence and cyber vulnerability data to develop cyber risk analyses that inform organizational prioritization and cyber operations.
• This experience must demonstrate proficiency in understanding how to use various data sets and sources of information to develop a defensible and repeatable risk analysis methodology.