Data Scientist, Financial Crime Analytics (Secret Clearance)

DataJobs; Washington (District of Columbia); On-site; USD 98,000 - 163,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Parental Leave and Adoption Assistance

Mobility Stipend

Job summary

Guidehouse in Washington, DC is hiring a Data Scientist to lead analytical workstreams that support complex financial crime investigations and enforcement matters. This onsite role requires an active Secret clearance and US citizenship.

You will apply advanced data science methods to structured and unstructured data, translate findings into memoranda and recommendations, and collaborate with investigators, analysts, attorneys, and regulatory stakeholders.

Qualifications

• 4+ years of experience developing analytical methods and models for actionable insights.
• Experience analyzing financial data and BSA filings (SARs, CTRs, wires).
• Ability to translate findings into decision-support documents.

Responsibilities

• Lead analytical workstreams supporting financial crime investigations.
• Apply advanced data science to structured and unstructured data.
• Support findings and develop analytical products for regulatory decision-making.
• Translate findings into memoranda, briefings, recommendations.
• Collaborate with investigators, analysts, attorneys, and regulatory stakeholders.

Skills

Python

SQL

PySpark

Machine Learning

Natural Language Processing

Data Visualization

Statistical Analysis

Entity Resolution

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies

Tools

Hive

Spark

Hadoop

PostgreSQL

Oracle

Job description

Guidehouse in Washington, DC is hiring a Data Scientist to lead analytical workstreams that support complex financial crime investigations and enforcement matters. This onsite role requires an active Secret clearance and US citizenship.

You will apply advanced data science methods to structured and unstructured data, translate findings into memoranda and recommendations, and collaborate with investigators, analysts, attorneys, and regulatory stakeholders.