Assist in building model monitoring that enables tracing, profiling, explainability, and root-cause analysis for production incidents or model degradation. Partner with risk and engineering teammates to improve credit policy and strengthen fraud defenses in response to customer behavior and macroeconomic trends.

Build and scale real-time pipelines (Kafka, Flink, Spark) and productionise ML/anomaly models to surface risks. Extract meaningful signals from high-volume, noisy datasets and continuously refine models through feedback loops.

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.