Financial Intelligence Data Analyst, Mid

Booz Allen Hamilton • Washington, DC

3d • $62,000 - $141,000

About The Position

As a client-facing data analyst on Booz Allen’s Financial Intelligence team, you will work with clients to understand their questions and needs, analyze data-rich environments, explain what the data means, and advise on how insights can inform national security policy and economic statecraft. The role contributes to intelligence analysis for policy and decision-makers, including analysis of risks to the global financial system and economic security.

You will research, develop, and test data methodologies; analyze, interpret, and visualize large datasets; and communicate findings and recommendations to clients and stakeholders. The work includes establishing quantitative and qualitative metrics for large-scale financial or trade analysis in response to geopolitical developments, and building data-centric solutions for intelligence community audiences. The role uses databases, scripting languages, and visualization tools to support organizational decision-making.

Requirements

• Experience using open-source machine learning frameworks to answer business questions using proprietary data.
• Experience with statistical analysis, correlating disparate data, and the OpenSearch analytics engine.
• Experience with probabilistic or predictive modeling.
• Experience 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 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.
• Active TS/SCI clearance is required.
• Associate’s degree and 6+ years of data analysis experience, bachelor’s degree and 4+ years of data analysis experience, or master’s degree and 2+ years of data analysis experience.

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

• Support client and stakeholder relationships using technical knowledge and an analytical mindset.
• Research, develop, and test data methodologies.
• Analyze, interpret, and visualize large datasets to develop cross-functional solutions for intelligence analysis.
• Contribute to work that guides decision-making across multiple organizations.
• Translate technical requirements and trends for different audiences.
• Present data findings and recommendations to clients and stakeholders using databases, scripting languages, and Microsoft Office Suite.
• Establish quantitative and qualitative metrics for large-scale financial or trade analysis in response to geopolitical developments.
• Visualize data using graphs, tables, PowerPoint slides, or Tableau.
• Create data-centric solutions for intelligence community audiences.
• Use data insights to support large-scale business and process decisions.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree