Transaction Monitoring Analyst - Financial Services

You will be responsible for analyzing transactional data to detect suspicious activities, building dashboards, and supporting compliance and risk teams in identifying anomalies and trends. - Monitor and analyze large volumes of transactional data to identify unusual patterns or suspicious activities - Develop and maintain interactive dashboards and reports using Power BI - Write complex queries using SQL for data extraction, transformation, and analysis - Use Python for data analysis, automation, and building analytical models - Collaborate with compliance, fraud risk, and AML teams to improve monitoring rules and scenarios - Perform data validation, cleansing, and reconciliation to ensure data accuracy - Generate insights and reports for stakeholders and senior management - Support investigations by providing data-driven insights and visualizations - Continuously enhance monitoring frameworks using analytics and automation Qualifications Required: - Degree in Finance, Data Analytics, Computer Science, or related field - 2-6 years of experience in transaction monitoring, fraud analytics, or AML domain - Strong hands-on experience with Power BI (dashboard creation, DAX, data modeling) - Proficiency in SQL (joins, subqueries, performance tuning) - Experience with Python (Pandas, NumPy, data visualization libraries) - Good understanding of transaction monitoring systems and AML frameworks - Strong analytical, problem-solving, and communication skills Additional Company Details: - Experience in banking, fintech, or financial services is preferred - Knowledge of AML regulations and compliance standards - Familiarity with tools like SAS, Tableau, or other analytics platforms You will be responsible for analyzing transactional data to detect suspicious activities, building dashboards, and supporting compliance and risk teams in identifying anomalies and trends. - Monitor and analyze large volumes of transactional data to identify unusual patterns or suspicious activities - Develop and maintain interactive dashboards and reports using Power BI - Write complex queries using SQL for data extraction, transformation, and analysis - Use Python for data analysis, automation, and building analytical models - Collaborate with compliance, fraud risk, and AML teams to improve monitoring rules and scenarios - Perform data validation, cleansing, and reconciliation to ensure data accuracy - Generate insights and reports for stakeholders and senior management - Support investigations by providing data-driven insights and visualizations - Continuously enhance monitoring frameworks using analytics and automation Qualifications Required: - Degree in Finance, Data Analytics, Computer Science, or related field - 2-6 years of experience in transaction monitoring, fraud analytics, or AML domain - Strong hands-on experience with Power BI (dashboard creation, DAX, data modeling) - Proficiency in SQL (joins, subqueries, performance tuning) - Experience with Python (Pandas, NumPy, data visualization libraries) - Good understanding of transaction monitoring systems and AML frameworks - Strong analytical, problem-solving, and communication skills Additional Company Details: - Experience in banking, fintech, or financial services is preferred - Knowledge of AML regulations and compliance standards - Familiarity with tools like SAS, Tableau, or other analytics platforms