Booz Allen Hamilton seeks a mid level Financial Intelligence Data Analyst to be based onsite in Washington, DC. This role translates complex data into actionable insights to inform policymakers about risks to the global financial system and economic security. As a client-facing member of the Financial Intelligence team, you will support national security policy and decision-makers.
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 for diverse audiences.
- Present data findings and recommendations to clients and stakeholders using databases, 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 graphs, tables, PowerPoint slides, and 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 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.
- Educational background and experience: Associate's degree with 6+ years of data analysis experience, Bachelor's degree with 4+ years, or Master's degree with 2+ years of data analysis experience.
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 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.
- Certifications such as Financial Intelligence, CAMS, CGSS, or CFCS.
Clearance
TS/SCI clearance is required.
Compensation
The projected compensation range is USD 62,000 to 141,000 per year (annualized).
This posting will close within 90 days from the posting date.
Identity Verification
As part of the hiring process, an identity verification process leveraging advanced biometrics and artificial intelligence will be used to ensure authenticity and prevent identity fraud. Interviews and assessments will require on-camera participation, and Booz Allen reserves the right to capture your image for verification purposes.
Candidate AI Usage Policy
AI is part of Booz Allen's daily work, with a commitment to responsible use. The candidate process is based on your own skills and knowledge. Use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is granted.
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.
