You will apply modern neural networks (including Transformers) to build, fine-tune, distill, and deploy models that improve fraud/risk outcomes, operational automation, and client experience, operating under real-world constraints (latency, scale, reliability, explainability, and governance). Define rigorous evaluation and measurement: offline metrics, calibration, robustness testing, segmentation, and online experimentation where feasible; translate model lift into business impact (loss reduction, approval rates, false-positive reduction, ops productivity, client outcomes).