Fraud Data and Analytics Analyst
Core
Transforms data into meaningful formats for fraud detection and decision-making, specializing in analyzing fraud-based threats to protect the bank from financial loss.
Role type
Fraud Data and Analytics Analyst
Builds
Fraud detection insights, operational reports, and data-driven strategies for loss mitigation
Domain
Banking / Financial Services / Fraud Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Data Analysis, Data Visualization, ETL, Data Modeling, Python, Tableau, Power BI, Big Data Technologies
Preferred skills
Machine Learning, Deep Learning, Artificial Intelligence, SAS, R, Java, Scala, MATLAB, Ruby, Snowflake, Hadoop, Hive, Impala, Spark, Kafka, Git, Harness Pipelines
Responsibilities
Gather and interpret data to support fraud detection efforts, quantify losses, and provide recommendations to management, develop and execute transaction and system monitoring for suspicious activities, create and maintain databases to classify and store information, prepare visual reports and presentations for management, perform quality data audits and mining, monitor data and analytics trends for continuous improvement, partner with Data Governance teams, and guide junior analysts
Seniority
Mid-level, hands-on IC