Financial Investigations Data Analyst

Role Overview

• Provide strategic data analysis support for U.S. Government financial crime and illicit finance investigations by preparing, analyzing, and interpreting large financial and investigative data sets related to money laundering, terrorist financing, proliferation financing, cyber‑enabled financial crime, and other illicit activity.
• Support investigations by preparing, cleansing, structuring, and validating large financial and investigative data sets collected through special authorities and other sources to ensure data quality, integrity, and usability.
• Perform data analysis to identify patterns, trends, typologies, and investigative leads related to illicit finance, supporting both known targets and the identification of new investigative targets.
• Pair and integrate BSA‑derived data with other data sources, including open‑source information, financial data, and information provided by government or law enforcement partners, to enhance analytical insight.
• Conduct documented and repeatable analytical workflows, ensuring methods, assumptions, and outputs are clearly recorded and reproducible by others.
• Support investigators by translating analytical results into clear written findings, visualizations, or briefing materials in support of investigative and policy decisions.
• Utilize government‑provided analytical tools and environments to query, analyze, and visualize financial transaction data.
• Maintain accurate documentation of analytical work, support tracking and reporting requirements, and contribute to quality control processes for analytical deliverables.
• Collaborate closely with investigators and government counterparts to align analytical efforts with investigative priorities and mission needs.

Requirements

• ACTIVE and CURRENT Top Secret clearance with eligibility for SCI.
• Bachelor’s degree in a relevant field (e.g., data analytics, statistics, economics, finance, computer science, intelligence studies, or a related discipline).
• Demonstrated experience performing data analysis in large data environments, particularly those involving financial transactions or other complex structured data.
• Experience using advanced analytics tools or programming languages (e.g., Python, R, Jupyter Notebooks, or comparable data analysis environments).
• Experience with data cleaning, mapping, validation, and quality assurance, ensuring analytical accuracy and completeness.
• Demonstrated ability to analyze large data sets to identify patterns, trends, relationships, and anomalies relevant to investigative or analytical questions.
• Experience applying quantitative and qualitative analytical techniques (e.g., link analysis, trend analysis, social network analysis, statistical analysis, or similar methods).
• Strong written and verbal communication skills, with the ability to clearly explain analytical findings to non‑technical audiences.
• Ability to work in a detail‑oriented, fast‑paced, classified environment, manage multiple priorities, and meet deadlines.

Tech Stack

• Python

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend