Financial Crime Data Analyst; SQL & data sets

Financial Crime Data Analyst (SQL & Large Data Sets)

Location :
Remote (UK-based) Job Type :
Full-Time / Contract

We are seeking a highly skilled Financial Crime Data Analyst with a strong command of SQL and experience working with large and complex data sets. The ideal candidate will have a deep understanding of financial crime frameworks, particularly Anti-Money Laundering (AML), Know Your Customer (KYC), and transaction monitoring analytics.

In this role, you will work remotely as part of a UK-based team, supporting financial crime investigations through data-driven insights and robust reporting. You'll play a key role in helping to detect, prevent, and report financial crime, contributing to a safer and more compliant financial ecosystem.

• Write, optimize, and execute advanced SQL queries to extract and analyze large volumes of financial data
• Conduct in-depth analysis of AML, KYC, and transaction monitoring data to identify patterns, trends, and anomalies
• Translate complex datasets into actionable insights, visualizations, and compliance reports
• Collaborate with cross-functional teams, including compliance, risk, and technology, to support ongoing investigations and initiatives
• Ensure data integrity and adhere to data governance and regulatory standards
• Support the development and enhancement of monitoring rules and models based on analytical findings

• Proven expertise in SQL, including performance optimization and handling large-scale datasets
• Background in financial crime analytics (AML, KYC, transaction monitoring, etc.)
• Strong analytical and problem-solving skills with attention to detail
• Ability to interpret regulatory requirements and apply them to data analysis
• Familiarity with UK and international financial crime regulations and data governance best practices
• Experience with data visualization tools (e.g., Power BI, Tableau) is a plus

• Fully remote role within a supportive UK-based team
• Competitive salary and flexible working hours
• Opportunity to work on high-impact projects in the financial crime domain