Compliance Data Analyst (1 Year Contract)

About the Role Our client, a reputable financial institution, is looking for a Compliance Data Analyst to support its Financial Crime Compliance function. This is an exciting opportunity for a data-driven professional to apply advanced analytics and machine learning techniques to enhance financial crime detection, deliver actionable insights, and support the organisation's regulatory compliance and risk management initiatives. Key Responsibilities Analyze large datasets to identify suspicious activities, trends, and emerging compliance risks. Design, build, and improve analytical and machine learning solutions to support AML, fraud, sanctions, and compliance monitoring. Prepare data-driven insights and reports to support regulatory obligations, audits, and investigations. Apply techniques such as logistic regression, random forests, gradient boosting, neural networks, and graph analytics to solve compliance-specific problems. Evaluate and monitor the performance of analytical models to ensure accuracy and effectiveness. Work closely with Compliance, Risk, and Technology teams to deliver practical, data-led solutions that strengthen risk management. Requirements Degree in Data Science, Statistics, Computer Science, Mathematics, Finance, Economics, or another quantitative discipline. 3–7 years of experience in data analytics, data science, or a related field within banking or financial services. Experience in financial crime, AML, KYC, fraud, sanctions, or regulatory analytics is an advantage. Proficient in SQL and Python or R for data analysis and modelling. Good understanding of statistical methods, machine learning techniques, and data visualisation.