A Data Analyst and Visualiser in the banking, card, and digital banking industry is responsible for turning vast amounts of transaction, customer, and risk data into actionable insights through sophisticated data modeling and interactive visualization. They bridge the gap between complex data sets and strategic decision-making, specifically focusing on fraud prevention, risk management, and digital product performance.

• Transaction Analysis: Analyze high-volume card transaction data to identify patterns, anomalies, and fraudulent activity (e.g., card testing, fraudulent refunds).
• Risk Evaluation: Build, validate, and maintain predictive risk models and scorecards to assess credit or operational risk, using techniques such as regression and clustering.
• Digital Behavior Mapping: Analyze user behavior within mobile banking apps and digital products using tools such as Firebase...