Financial Intelligence Data Analyst, Mid
About The Position
Booz Allen is seeking a client-facing data analyst to support its Financial Intelligence team. The analyst will work with clients to understand their questions and needs, examine data-rich environments, explain what the data means, and advise on how it 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. The analyst researches, develops, and tests data methodologies; analyzes, interprets, and visualizes large datasets; and creates data-centric solutions for intelligence community audiences. The work includes establishing quantitative and qualitative metrics for financial or trade analysis in response to geopolitical developments and presenting findings and recommendations in formats suited to clients and stakeholders. The position is onsite; remote work is listed as unavailable. A TS/SCI clearance is required.
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 with scripting languages such as Python, R, MATLAB, Spark, or PySpark.
- Experience implementing machine learning processes in 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 with technical knowledge and an analytical mindset.
- Research, develop, and test data methodologies.
- Generate cross-functional solutions by analyzing, interpreting, and visualizing large datasets for intelligence analysis.
- Contribute to impactful work and guide decision-making across multiple organizations.
- Simplify 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 formats such as graphs, tables, PowerPoint slides, or Tableau.
- Create data-centric solutions for intelligence community audiences.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
