Data Scientist- Financial Investigation

About this role

Job Family : Risk & Regulatory Compliance Consulting Travel Required : Up to 10% Clearance Required : Active Secret

What You Will Do : • 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.

What You Will Need : • 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.

• 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.

What Would Be 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.

The annual salary range for this position is $98,000.00-$163,000.00. 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.

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.

Similar jobs

• Data Scientist, Financial Engineering — Openai · San Francisco
• Data Scientist, Finance — Ramp · New York, NY (HQ)
• Data Scientist, Finance — Figma · San Francisco, CA • New York, NY • United States
• Data Scientist - Fraud Risk — Rain · New York, NY
• Data Analyst - Fraud Intelligence — Sardine · Remote
• Senior Data Scientist - Fraud — Equifax (External) · Georgia, Alpharetta, 30005, United States
• Financial Crimes - Senior Data Scientist — KeyBank · Cleveland, OH | Buffalo, NY
• Data Scientist, Risk — Gusto · San Francisco, CA