Financial Investigations Data Scientist (Consultant)
US - DC, Washington
- Pay
$74,000–124,000/year — pay source
Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs. The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingSupport financial crime investigations, enforcement matters, and data analysis initiatives by preparing, analyzing, and interpreting large datasets.
From the employer’s posting
What You Will Do: Support financial crime investigations, enforcement matters, and data analysis initiatives by preparing, analyzing, and interpreting large datasets. Apply data science, statistical, and analytical techniques to identify trends, anomalies, patterns, and investigative leads that support anti-money laundering (AML) and illicit finance investigations. Working alongside senior investigators, analysts, and data scientists, you will contribute to analytical products, data-driven insights, and investigative support activities. What You Will Need:
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
- Experience using Python, SQL, and data analytics libraries to query, manipulate, and analyze data.
- 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 data platforms such as SQL Server, Oracle, PostgreSQL, Hive, Spark, or similar technologies.
- Experience creating data visualizations, dashboards, reports, or other analytical products.
Preferred experience
- Experience supporting financial crime, fraud, regulatory, intelligence, or investigative programs.
- Experience analyzing BSA data, including SARs, CTRs, wire transfers, account activity, or other financial intelligence datasets.
- Experience performing entity resolution, link analysis, network analysis, or relationship mapping.
- Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs.
Qualification wording
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
Experience using Python, SQL, and data analytics libraries to query, manipulate, and analyze data.
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 data platforms such as SQL Server, Oracle, PostgreSQL, Hive, Spark, or similar technologies.
Experience creating data visualizations, dashboards, reports, or other analytical products.
Experience supporting financial crime, fraud, regulatory, intelligence, or investigative programs.
Experience analyzing BSA data, including SARs, CTRs, wire transfers, account activity, or other financial intelligence datasets.
Experience performing entity resolution, link analysis, network analysis, or relationship mapping.
Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs.
Tools in this posting
- Python
- SQL
- Hive
- Oracle
- PostgreSQL
- Spark
- SQL Server
Source — Tool mentions in context
- Minimum of Three(3) years of experience cleaning, transforming, analyzing, and interpreting complex datasets. - Experience using Python, SQL, and data analytics libraries to query, manipulate, and analyze data. - 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 data platforms such as SQL Server, Oracle, PostgreSQL, Hive, Spark, or similar technologies. - Experience creating data visualizations, dashboards, reports, or other analytical products.
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
In the employer’s words · Read in context
Job description
Job Family:
Risk & Regulatory Compliance Consulting
Travel Required:
Clearance Required:
What You Will Do:
Support financial crime investigations, enforcement matters, and data analysis initiatives by preparing, analyzing, and interpreting large datasets. Apply data science, statistical, and analytical techniques to identify trends, anomalies, patterns, and investigative leads that support anti-money laundering (AML) and illicit finance investigations. Working alongside senior investigators, analysts, and data scientists, you will contribute to analytical products, data-driven insights, and investigative support activities.
What You Will Need:
- An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
- Must be a US Citizen due to nature of client engagements.
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
- Minimum of Three(3) years of experience cleaning, transforming, analyzing, and interpreting complex datasets.
- Experience using Python, SQL, and data analytics libraries to query, manipulate, and analyze data.
- 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 data 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 in a clear, concise, and repeatable manner.
- Strong written and verbal communication skills.
- Willing to work from client site in Washington, DC five(5) days a week.
What Would Be Nice To Have:
- Experience supporting financial crime, fraud, regulatory, intelligence, or investigative programs.
- Experience analyzing BSA data, including SARs, CTRs, wire transfers, account activity, or other financial intelligence datasets.
- Experience performing entity resolution, link analysis, network analysis, or relationship mapping.
- Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
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
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs. The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
- Location & working pattern
US - DC, Washington
Working pattern and location restrictions need checking in the full posting.
- Work authorization
What You Will Need: - An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. - Must be a US Citizen due to nature of client engagements. - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
- Status in our records
- Active
- First seen by us
- Sep 23, 2026
- Recorded sightings
- 27
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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