US - Financial Crime Data Analyst (SQL & Large Data Sets)

17 hours, 15 minutes ago
Contract
Mid Level
Data Science and Analytics

Capitex

Capitex is a staffing, recruiting, training, and solutions provider focused exclusively on financial crime compliance. It offers contract and interim staffing, executive search, rapid response teams, compliance and advisory services, and training support across AML, KYC/CDD/EDD, sanctions, fraud, and transaction monitoring for regulated financial institutions.

Staffing and Recruiting
11-50
Founded 2021

Description

  • 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 on anti-financial crime initiatives.
  • Maintain compliance with U.S. financial regulations, including BSA, OFAC, and FinCEN requirements.
  • Uphold data governance standards and ensure data accuracy and integrity.

Requirements

  • Advanced SQL skills with experience working on large, high-complexity datasets.
  • Demonstrated experience in financial crime analytics, including AML, KYC, and 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 and visualization tools such as Tableau or Power BI is a plus.
  • U.S.-based and available to work remotely as part of a fully remote team.
  • Full-time or contract availability.

Benefits

  • 100% remote work within a U.S.-based team.
  • Competitive compensation.
  • Flexible working hours.
  • Opportunity to contribute to combating financial crime and making a meaningful impact.

Interested in this position?

Apply directly on the company website

Apply Now

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