Member of Compliance, Financial Crimes Compliance Data Analytics

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  • Company Jobgether
  • Employment Full-time
  • Location 🇺🇸 United States nationwide
  • Submitted Posted 2 days ago - Updated 1 day ago

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Member of Compliance, Financial Crimes Compliance Data Analytics in United States.

This is a high-impact role within a fast-evolving compliance and financial crimes environment, focused on leveraging data to strengthen regulatory and risk frameworks across digital asset operations. As a Member of Compliance, Financial Crimes Compliance Data Analytics, you will transform complex datasets into actionable insights that enhance monitoring, detection, and reporting capabilities. You will work closely with cross-functional compliance, engineering, and product teams to improve automation and efficiency across critical AML and KYC processes. This role combines technical analytics expertise with regulatory awareness in a dynamic, high-growth fintech and crypto environment. You will contribute directly to the design and optimization of data-driven compliance systems that support global financial integrity. It is an ideal opportunity for a detail-oriented and analytical professional who thrives in fast-paced, ambiguous, and mission-critical settings.


Accountabilities:
  • Analyze complex compliance and financial crimes datasets to generate actionable insights supporting AML, KYC, sanctions screening, and transaction monitoring programs
  • Support the design, development, and enhancement of BSA/AML models, including risk scoring, blockchain analytics, and suspicious activity detection systems
  • Drive automation of compliance workflows using internal tools and data-driven approaches to reduce manual processes and improve efficiency
  • Conduct ad hoc and time-sensitive analyses for auditors, regulators, and internal stakeholders with high accuracy and responsiveness
  • Collaborate with cross-functional teams including Product, Engineering, and Compliance to improve data systems, models, and reporting infrastructure
  • Contribute to best practices for analytics workflows, including documentation, testing frameworks, code quality, and process improvements
  • Monitor and optimize data flows across compliance systems to ensure accuracy, consistency, and scalability

Requirements:

  • 2–3 years of experience in data analytics, data science, or a related field, preferably within financial services, fintech, or crypto environments
  • Strong proficiency in SQL, including advanced queries such as CTEs, window functions, and complex joins
  • Experience working with large-scale datasets and translating raw data into meaningful compliance or business insights
  • Familiarity with compliance domains such as AML, KYC, sanctions screening, or financial crime risk management is highly desirable
  • Strong analytical mindset with the ability to manage multiple competing priorities in a fast-paced environment
  • Experience with automation tools, AI-driven workflows, or experimentation with emerging AI technologies is a strong plus
  • Understanding of how data systems, pipelines, and analytics infrastructure interact across organizations
  • Excellent communication skills with ability to present technical findings to both technical and non-technical stakeholders
  • Detail-oriented and highly organized, with a strong commitment to data accuracy and quality

Benefits:

  • Competitive compensation aligned with experience and industry benchmarks
  • Comprehensive health, dental, and vision insurance coverage
  • Flexible remote work environment supporting work-life balance
  • Generous paid time off and company holidays
  • Opportunities to work in a fast-growing digital asset and fintech environment
  • Exposure to cutting-edge compliance, blockchain analytics, and AI-driven risk systems
  • Strong focus on learning, development, and cross-functional career growth
  • Inclusive and mission-driven culture emphasizing trust, transparency, and collaboration
  • Retirement and financial wellness programs


How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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