Data Scientist- Financial Investigation
Guidehouse•McLean, DC
•Onsite
About The Position
Lead analytical workstreams supporting complex financial crime investigations and enforcement matters. Apply advanced data science methodologies to structured and unstructured datasets to identify patterns of illicit financial activity, support investigative findings, and develop analytical products used in regulatory and enforcement decision-making.
Requirements
- ACTIVE and CURRENT Secret clearance required.
- Must be US Citizen.
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or 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 utilizing Hive, Spark, Hadoop, PostgreSQL, Oracle, or similar technologies.
Nice To Haves
- 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.
Responsibilities
- Lead analytical workstreams supporting complex financial crime investigations and enforcement matters.
- Apply advanced data science methodologies to structured and unstructured datasets to identify patterns of illicit financial activity, support investigative findings, and develop analytical products used in regulatory and enforcement decision-making.
- Translate analytical findings into memoranda, briefings, recommendations, or other decision-support products.
- Independently execute analytical projects and collaborate directly with investigators, intelligence analysts, attorneys, and regulatory stakeholders.
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
