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About the Role
Dynamis is seeking a Data Scientist to support FinCEN’s Global Investigations Division (GID). The practitioner will design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns using BSA/AML transaction data. This role requires a strong understanding of statistical modeling and machine learning using Python and R, hands-on experience with AWS cloud-native services, and working knowledge of Bank Secrecy Act (BSA) data, collaborating with compliance analysts and investigators.
Responsibilities
- Design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns using BSA/AML transaction data
- Perform exploratory data analysis, feature engineering, and model validation using Python, Jupyter Notebook, PySpark, Pandas, and R
- Use SQL for complex querying and analyze large-scale structured and unstructured datasets stored in AWS S3, PostgreSQL RDS, and OpenSearch
- Work with large data environments storing financial transactions or other critical data, including performing entity resolution across large datasets
- Understand the structure of bank wire transfer data, including international formats from message systems such as SWIFT, CHIPS, and book transfer systems, as well as BSA-derived data such as SARs, CTRs, and 8300s
- Ensure data quality and integrity through data mapping, cleaning, and validation processes
- Apply quantitative and qualitative analysis techniques, statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, and data mining, to financial data
- Collaborate closely with compliance analysts and investigators to translate regulatory and investigative requirements into data analyses and analytical models
- Produce visualizations and written findings for both technical and non-technical stakeholders
- Communicate project progress, support needs, and analytical output to senior management, clearly conveying the “so what” and “why this matters” as it relates to GID’s mission
- Maintain documentation for data pipelines, model logic, and analytical findings in accordance with agency or organizational standards
- Participate in peer code reviews and contribute to best practices for reproducible data science workflows
Requirements
- U.S. Citizenship
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
- 4–5 years of work experience as a data scientist with strong knowledge of statistical modeling and machine learning experience using Python and R
- Active Top-Secret clearance with eligibility for access to Sensitive Compartmented Information (SCI)
- Hands-on experience with AWS cloud-native services (e.g., S3, RDS, OpenSearch, Lambda)
- Working knowledge of Bank Secrecy Act (BSA) data
- Demonstrated experience with SQL for complex querying and analysis of large-scale structured and unstructured datasets
Skills
- Statistical modeling
- Machine learning
- Python
- R
- AWS cloud-native services (S3, RDS, OpenSearch, Lambda)
- Bank Secrecy Act (BSA) data
- SQL
- Jupyter Notebook
- PySpark
- Pandas
- NumPy
- Scikit-Learn
Location
- 1801 L Street NW, Washington, DC 20036
Work Type
- On-site
Experience Level
- 4-5 years
Education Level
- Bachelor's degree
Salary/Compensations
- $90,000-130,000
About the Company
- Dynamis is seeking a Data Scientist to support FinCEN’s Global Investigations Division (GID).