Start Date
Immediate
Expiry Date
08 Oct, 25
Salary
0.0
Posted On
08 Jul, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Shipping, Scientific Analysis, Finance, Commerce, Financial Statements, Trade Finance, Anti Money Laundering, Cash Flow Analysis, Stack, Decision Making, Data Structures, Asset Based Lending, Economics, Model Development, Data Processing, Machine Learning
Industry
Financial Services
JOB DESCRIPTION:
TF SMEs to identify, retrieve, evaluate, interpret, and analyze a myriad of finished and unfinished classified and unclassified data sources, including publicly available information, to create fused analytical products that will enhance situational awareness in support of JSOTF mission objectives, priorities, or exigent operational needs. The TF SME will perform in depth target threat finance analysis of available information utilizing tool sets to reveal entities of interest, determine lifestyle patterns and provide detailed background information for JSOTF networks of interest. The TF SME shall develop and maintain close, collaborative relationships with intelligence partners internal and external to the JSOTF and may serve as a liaison to Department of State, Department of Commerce, Department of Treasury and other related entities on matters related to terrorist threat finance. The threat finance products will be utilized for fraud detection, prevention of CONUS and OCONUS illegal financial activities and assist in identifying and characterizing logical and physical terrorist financial networks and other individuals or networks of interest using multiple data sources and analytical protocols. The analyst shall be proficient in the use and exploitation of all available technologies to enhance all-source analysis. The analyst shall assist in intelligence product development and provide input to routine reporting requirements (e.g. SITREPs, annual reports, etc.).
REQUIRED QUALIFICATIONS:
MBA or MS in Finance, Accounting, or Economics or related field. BA/BS considered with multiple years of directly related experience.
Minimum seven (7) years’ experience working for or with Department of State, Department of Commerce, Department of Treasury, FBI, or other federal agency on matters related to terrorist threat finance.
Minimum seven (7) years’ experience demonstrating knowledge of commercial, trade-finance, asset-based lending, loan documentation, financial statements, and cash flow analysis.
Minimum five (5) years’ experience demonstrating knowledge of federal and state banking regulations and Anti-Money Laundering (AML) focused activities.
Demonstrated understanding of Anti-money Laundering and Combating the Financing of Terrorism (AMUCFT) and sanctions compliance requirements pertaining to commodities transactions and shipping (vessels and port screening).
Knowledge of institutional banking/brokerage products and services.
Experience with commercial bank operations and fraud prevention/investigations federal and state banking regulations with extensive knowledge of basic banking-transaction methods such as check, automated clearing house (ACH), wire, and other payment channel operating rules.
Experience that demonstrates an understanding of latest loan fraud threats/trends.
Previous experience and the ability to demonstrate proficiency conducting statistical modeling and analysis.
Working understanding of CT, IC agencies, DoD entities, JSOTF, their mission sets and relationships to regional, political/military, and socio-cultural issues, as well as the associated implications for policy and decision making.
The TF SME contractor shall have an understanding of data structures and standards (e.g., Lists, Arrays, Stack, or Sorting and Searching), to assist in data model development necessary to support a cohesive data environment that is searchable across multiple data sets, and have the ability to evaluate new or unfamiliar datasets, for potential applicability to mission requirements, and integrate them into an analytic workflow.
The TF SME contractor shall have proficiency and experience with applied data processing and scientific analysis of large datasets nd machine learning.
DESIRED QUALIFICATIONS:
Please refer the Job description for details