Financial Investigations Data Scientist

Guidehouse is seeking a Financial Investigations Data Scientist to lead analytical workstreams that support complex financial crime investigations and enforcement matters. This onsite role in Washington, DC blends advanced data science on structured and unstructured datasets to help identify illicit financial activity and deliver decision-support products for regulatory and enforcement stakeholders.

Compensation for this position ranges from USD 98,000 to 163,000 per year.

What you will do

• Lead analytical workstreams supporting complex financial crime investigations and enforcement matters.
• Use advanced data science methodologies on structured and unstructured data to identify patterns of illicit financial activity, support investigative findings, and build analytical products used in regulatory and enforcement decision-making.
• Execute analytical projects independently while collaborating directly with investigators, intelligence analysts, attorneys, and regulatory stakeholders.
• Translate analytical findings into memoranda, briefings, recommendations, and other decision-support products.

Key requirements

• Active and current Secret clearance is required.
• Must be a U.S. Citizen.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
• 4 years of experience developing analytical methods, models, tools, or workflows that deliver actionable insights.
• Experience analyzing financial data and BSA filings, including SARs, CTRs, wire transfers, transaction records, account activity, or related financial intelligence datasets.
• Strong proficiency with Python, SQL, PySpark, machine learning, natural language processing, data visualization, and statistical analysis.
• Experience performing entity resolution of businesses, companies, beneficial owners, or related parties using analytical techniques and methodologies.
• Experience working in large-scale data environments using Hive, Spark, Hadoop, PostgreSQL, Oracle, or similar technologies.
• Onsite schedule: willing to work in Washington, DC five (5) days per week.

Technologies you will use

Python, SQL, PySpark, machine learning, natural language processing, data visualization, statistical analysis, entity resolution, Hive, Spark, Hadoop, PostgreSQL, Oracle

Nice to have

• Experience supporting investigations involving money laundering, proliferation financing, terrorist financing, sanctions evasion, cyber-enabled financial crime, or complex fraud schemes.
• Experience analyzing blockchain, virtual currency, Fedwire, correspondent banking, or international transaction data.
• Experience supporting enforcement actions, regulatory reviews, or investigative matters.
• Prior experience supporting FinCEN, Treasury, DOJ, DHS, or other federal law enforcement or regulatory agencies.

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

Role details

• Job family: Risk & Regulatory Compliance Consulting
• Travel required: Up to 10%