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US - Financial Crime Data Analyst (SQL & Large Data Sets)
Capitex
- United States
- United States
About
Financial Crime Data Analyst (SQL & Large Data Sets) Location:
Remote (U.S.-based) Job Type:
Full-Time / Contract
We’re looking for a detail-oriented and analytical
Financial Crime Data Analyst
with expert-level SQL skills and experience working with large, complex datasets. This role is ideal for someone with a solid background in financial crime analytics, including Anti-Money Laundering (AML), Know Your Customer (KYC), and transaction monitoring.
As a fully remote member of a U.S.-based team, you\'ll be instrumental in analyzing financial data to uncover suspicious activity, support investigations, and ensure compliance with U.S. regulatory standards. Your insights will directly impact how we detect and prevent financial crime.
Responsibilities
Build and optimize complex SQL queries to analyze high-volume financial datasets
Perform data-driven investigations related to AML, KYC, and transaction monitoring
Translate analytical findings into actionable intelligence and regulatory reporting
Collaborate with compliance, risk, and data engineering teams to support anti-financial crime initiatives
Maintain compliance with U.S. financial regulations (e.g., BSA, OFAC, FinCEN)
Uphold data governance standards and ensure data accuracy and integrity
Qualifications
Advanced SQL skills, with a track record of working with large, high-complexity datasets
Demonstrated experience in financial crime analytics (AML, KYC, transaction monitoring)
Strong understanding of U.S. financial regulations and compliance frameworks
Ability to interpret complex data and translate it into clear business insights
Familiarity with data governance practices and regulatory reporting requirements
Experience with BI/visualization tools (e.g., Tableau, Power BI) is a plus
What We Offer
100% remote work within a U.S.-based team
Competitive compensation and flexible working hours
The opportunity to help combat financial crime and make a meaningful impact
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Languages
- English
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