Fraud Data and Analytics Analyst - Card Fraud
Core
Analyze fraud-based threats impacting the bank, quantify losses, and provide insights to protect against financial loss.
Role type
Fraud Data and Analytics Analyst
Builds
Fraud detection reports, visual presentations, and data-driven recommendations for management
Domain
Banking / Financial Services / Fraud Analytics
Deliverable
dashboards & analysis
Required skills
SQL, SAS, Python, R, Tableau, Power BI, data mining, data governance, model governance
Preferred skills
Big Data technologies (Snowflake, Hadoop, Spark), Machine Learning, Deep Learning, LLMs, card authorization data analysis
Responsibilities
Gather and interpret data to determine how fraud was conducted and quantify losses; Assess effectiveness of current rule strategies and drive recommendations for enhancements; Develop and execute transaction and system monitoring for suspicious merchants; Create and maintain databases to classify and store information; Perform quality data audits and partner with Data Governance and Model Governance teams
Seniority
Mid-level, hands-on IC