The mid level Financial Intelligence Data Analyst role focuses on turning data into actionable insights to inform policymakers about risks to the global financial system and economic security. This client facing position sits on Booz Allen Hamilton's Financial Intelligence team, supporting national security policy and decision makers. The role is based onsite in Washington, DC.
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.
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
Technologies
- OpenSearch
- SQL
- Python
- Jupyter
- Microsoft Office Suite
- R
- MATLAB
- Spark
- PySpark
- Tableau
- PowerPoint
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work life programs
- Dependent care
- Recognition awards program
NICE IF YOU HAVE
- 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
Clearance
TS/SCI clearance is required.
Compensation
The projected compensation range for this position is USD 62,000.00 to USD 141,000.00 (annualized USD). This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is part of Booz Allen's daily work, and the firm is committed to the responsible and ethical use of AI tools. The candidate process remains fair and based on your own skills and knowledge. The use of artificial intelligence or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.
Commitment to Non-Discrimination
All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other status protected by applicable law at the federal, state, local, or international level.
