associated with, but not limited to, terrorism, CD, narco-terrorism, counterintelligence, insurgency, proliferation, and operational activity that threatens US national security interests. The TFA aggregates and fuses multi-modal transactional data and identity; maps and performs analysis of financial data from formal banking systems, financial reports, and informal transfer means; prepares and integrates financial data from all available sources including, but not limited to, SIGINT intercepts, HUMINT, Law Enforcement Foreign Intelligence Surveillance Act (FISA), search warrants and subpoenas, DOMEX, and shared data such as Bank Secrecy Act, formal banking system, Suspicious Activities Reports, and informal systems. The TFA understands payment relationships, revenue-generation, and money-laundering methods; applies statistical techniques including flow analysis, visualization, and geospatial analysis tools to bulk and raw transactional data; applies pattern analysis to large data sets; applies intelligence collection requirements, essential elements of information, priority intelligence requirements, and search terms to DOMEX triage processes; and applies data engineering to interface with structured data and data forensics tools. The TFA maintains awareness of digital fraud detection capabilities, strategies, and attacks leveraging various security monitoring platforms; uses web-threat protection, real-time (or near real-time) fraud risk assessment, big data and digital application monitoring tools (ArcSight, Splunk, SAS, Teradata, and enterprise real-time fraud detection tools) to monitor digital fraud events. Additionally, the TFA applies pattern analysis to large data sets; analyzes vulnerabilities, establishes monitoring parameters; and researches, documents, and reports digital fraud attacks related to customer mission.
Active Top Secret/SCI (TS/SCI) with Polygraph security clearance required.
Bachelor's degree in a relevant field from an accredited college or university.
At least 8 years of relevant financial analysis experience, with at least a portion of the experience within the last 2 years.
Experience analyzing financial data from formal banking systems, financial reports, and informal transfer means.
Demonstrated experience using web-threat protection, real-time (or near real-time) fraud risk assessment, big data and digital application monitoring tools such as ArcSight, Splunk, SAS, Teradata, and enterprise real-time fraud detection tools.
Experience applying statistical techniques including flow analysis, visualization, and geospatial analysis tools to bulk and raw transactional data, as well as applying pattern analysis to large data sets.
Pay Range $87,100.00 - $157,450.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Original Posting Date:
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.