Financial Investigations Data Scientist

Guidehouse•Washington, DC

1d•$98,000 - $163,000•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. The position requires an active and current Secret clearance, U.S. citizenship, and onsite work in Washington, DC five days per week. Travel is required up to 10%.

Requirements

Active and current Secret clearance.
U.S. citizenship.
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
Four 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.
Experience translating analytical findings into memoranda, briefings, recommendations, or other decision-support products.
Ability to independently execute analytical projects and collaborate directly with investigators, intelligence analysts, attorneys, and regulatory stakeholders.
Willingness to work onsite in Washington, DC five days per week.

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 for 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.