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

Overview

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.

In Short

• 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.
• 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.

Benefits

• 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.