Financial Intelligence Data Analyst, Mid

Booz Allen Hamilton•Washington, DC

1d•$62,000 - $141,000•Remote

About The Position

As a client-facing data analyst on our Financial Intelligence team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on our national security policy and economic statecraft issues, contributing to high-profile intelligence analysis for key policy and decision-makers.

Requirements

Experience using open-source machine learning frameworks to answer business questions using proprietary data
Experience with statistical analysis, correlating disparate data, and OpenSearch analytics engine
Experience with probabilistic modeling or predictive modeling
Experience with performing data analysis using scripting languages such as Python, R, MATLAB, Spark or PySpark
Experience implementing machine learning processes into production software applications
Experience using big data tools to answer business questions with proprietary data
Experience in building property graphs from multiple data sources to perform network analytics
Ability to analyze large, unstructured, and noisy datasets and identify meaningful patterns that provide actionable results
TS/SCI clearance
Associate's degree and 6+ years of experience with data analysis, Bachelor's degree and 4+ years of experience with data analysis, or Master's degree and 2+ years of experience with data analysis

Nice To Haves

Experience conducting data analysis in a cleared and intelligence community environment
Experience with financial and trade data analysis
Knowledge of Western Hemisphere regional security, crime, or financial issues
Knowledge of formal and informal financial systems
Knowledge of financial crime and unlawful financial activity typologies
Ability to write finished intelligence products that conform to analytic tradecraft standards
Financial Intelligence, Certified Anti-Money Laundering Specialist (CAMS), Certified Global Sanctions Specialist (CGSS), or Certified Financial Crimes Specialist (CFCS) Certification

Responsibilities

Use your technical knowledge and analytical mindset to support client and stakeholder relationships.
Research, develop, and test data methodologies, and generate cross-functional solutions through analysis, interpretation, and visualization of large data sets for intelligence analysis.
Contribute to impactful work and guide decision-making across multiple organizations.
Apply communication skills and data analytics experience by simplifying technical requirements and trends based on audience.
Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL, Python, Jupyter, and Microsoft Office Suite.
Establish quantitative and qualitative metrics to conduct large-scale financial or trade analysis in response to geopolitical developments.
Apply data visualization through different formats such as graphs, tables, PowerPoint slides, or Tableau.
Grow your communication and technical skills by creating data-centric solutions across intelligence community audiences.
Work with us to help drive large-scale business and process decisions through data insights.