Senior Machine Learning Engineer, Risk

You will own the full lifecycle of ML solutions for risk, from data ingestion and processing to model development, deployment, and iteration. Act as the ML modeling DRI, collaborating with platform engineers, product managers, data scientists, and policy analysts to ensure risk health and squad success. Develop AI-powered automation tools and pipelines, and drive improvements across the risk ML organization. Become a risk domain expert and provide technical leadership, defining roadmaps and delivering high-impact initiatives. Champion reusable, scalable tooling and contribute to a culture of mentoring and collaboration. Leverage a strong ML stack on cloud platforms with CI/CD to deploy at scale (e.g., PySpark, PyTorch, MLflow, SageMaker, Vertex AI, Airflow/Prefect).