Fraud Analyst - Sql - Face To Face (Interview) - Hyderabad

Key Responsibilities: Monitor and analyze transactional and customer data to detect potential fraud or suspicious behavior using SQL and analytics tools. Investigate alerts generated by fraud detection systems and perform detailed analysis to determine validity. Design and execute SQL queries to extract and manipulate data for fraud trend analysis and reporting. Develop and maintain dashboards and reports to track fraud KPIs and identify emerging risks. Collaborate with Risk, Compliance, and Legal teams to escalate confirmed cases and file SARs or STRs if applicable. Recommend enhancements to existing fraud rules and systems based on data-driven insights. Support audits and regulatory inquiries with relevant data and analysis. Stay current on fraud trends, typologies, and regulatory requirements. Required Skills: 35 years of experience in fraud detection, risk analytics, or financial crime investigation. Strong proficiency in SQL – ability to write complex queries for data extraction and manipulation. Knowledge of fraud detection systems (e.g., Actimize, SAS, Feedzai, Falcon – as applicable). Familiarity with AML/KYC guidelines and transaction monitoring processes. Experience with visualization tools like Power BI, Tableau, or Excel . Analytical mindset with excellent attention to detail and problem-solving skills. Good written and verbal communication skills.