Financial Investigations Data Scientist – Consultant

Guidehouse

. Support financial crime investigations, enforcement matters, and data analysis initiatives .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $74,000 - $124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and statistical techniques to support financial crime investigations, with a strong focus on anti-money laundering and illicit finance. Proficient in utilizing programming languages and data analytics tools to interpret complex datasets and generate actionable insights.

Highest-signal resume keywords

Data AnalysisPython ProgrammingSQL ProficiencyStatistical AnalysisMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData TransformationData InterpretationAnomaly DetectionNatural Language ProcessingData VisualizationDashboard CreationStatistical TechniquesAnalytical MethodologiesLarge-Scale Data Environments

Soft Skills

Strong Written CommunicationStrong Verbal Communication

Tools & Technologies

SQL ServerOraclePostgreSQLHiveSpark

Certifications & Qualifications

SECRET Federal Security Clearance

Industry Keywords

Anti-Money LaunderingFinancial Crime InvestigationsData ScienceStatisticsCriminal Justice

Tech Stack

Tools & technologies

OraclePostgresPythonSparkSQL

About the role

Key responsibilities & impact

Support financial crime investigations, enforcement matters, and data analysis initiatives
Prepare, analyze, and interpret large datasets
Apply data science, statistical, and analytical techniques to identify trends, anomalies, patterns, and investigative leads
Support anti-money laundering (AML) and illicit finance investigations
Work alongside senior investigators, analysts, and data scientists
Contribute to analytical products, data-driven insights, and investigative support activities

Requirements

What you’ll need

Active and maintained "SECRET" Federal or DoD security clearance
Must be a US Citizen
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field
Minimum of 3 years of experience cleaning, transforming, analyzing, and interpreting complex datasets
Experience using Python, SQL, and data analytics libraries
Experience working with structured and unstructured data in large-scale data environments
Experience with statistical analysis, machine learning, anomaly detection, natural language processing, or related analytical techniques
Experience querying and analyzing data using relational databases and platforms such as SQL Server, Oracle, PostgreSQL, Hive, Spark, or similar technologies
Experience creating data visualizations, dashboards, reports, or other analytical products
Ability to document analytical methodologies and results clearly, concisely, and repeatably
Strong written and verbal communication skills
Willingness to work from the client site in Washington, DC five days a week

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Discretionary variable incentive bonus may be available
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
Flexible benefits package
Up to 10% travel requirement