01Key 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 reputed company 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 reputed company and adhere to data governance and regulatory standards Support the development and enhancement of monitoring rules and models based on analytical findings
02Requirements
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 reputed company Offer:
Fully remote role reputed company a supportive UK-based team Competitive salary and flexible working hours Opportunity to work on high-impact projects in the financial crime domain
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