Financial Crime Data Analyst (SQL & Large Data Sets)

About the role

A UK-based team is looking for a Financial Crime Data Analyst who works remotely, supporting financial crime investigations through data-driven insights and robust reporting. The role suits someone with a strong command of SQL and experience with large, complex data sets, and a good understanding of AML, KYC and transaction monitoring analytics.

Key responsibilities

• Write, optimise and run advanced SQL queries to extract and analyse large volumes of financial data
• Analyse AML, KYC and transaction monitoring data to find patterns, trends and anomalies
• Turn complex data into actionable insights, visualisations and compliance reports
• Work with compliance, risk and technology teams on investigations and initiatives
• Maintain data integrity and follow data governance and regulatory standards
• Help build and improve monitoring rules and models

Required profile

• Proven SQL expertise, including performance tuning and large-scale datasets
• Background in financial crime analytics (AML, KYC, transaction monitoring)
• 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 practice

Required skills

• SQL
• Data visualization tools such as Power BI or Tableau (a plus)

What we offer

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