Data Analyst - Fraud & Risk

CoreAi Consulting is seeking a Fraud & Risk Data Analyst to analyze large-scale transactional and behavioral data, identify fraud patterns, and support risk and compliance initiatives across financial systems. The role requires strong data analytics fundamentals and a solid background in fraud analytics within financial services or fintech environments.

Responsibilities:

• Analyze transactional and behavioral data to detect fraud patterns, anomalies, and suspicious activities
• Support AML/KYC and risk monitoring initiatives through data-driven analysis
• Develop and maintain fraud detection logic, rules, and analytical models
• Perform exploratory data analysis (EDA) to identify trends and risk signals
• Use SQL to extract, transform, and analyze large datasets from multiple sources
• Use Python (Pandas, NumPy) for data analysis, automation, and modeling
• Leverage Splunk (or similar tools) to analyze logs, monitor events, and investigate incidents
• Define and track key fraud and risk metrics (fraud rate, false positives, approval rate, etc.)
• Build dashboards and reports to communicate insights to stakeholders
• Collaborate with product, engineering, and compliance teams to improve fraud detection and controls
• Assist in designing and evaluating experiments to optimize fraud prevention strategies