Job Title: Financial Crime Data Analyst (SQL & Large Data Sets) Location: Remote (UK-based) Job Type: Full-Time / Contract About the Role: 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. Key Responsibilities: 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 Requirements: 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 What We Offer: 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