Risk Data Scientist Middle+

Design, build, and own end-to-end machine learning models supporting risk decisions. Establish and maintain a managed lifecycle for ML models in production. Collaborate closely with Risk Analysts, Portfolio Managers, and Risk-tech strategy teams on model implementation.

3+ years of hands-on, production-level Data Science experience. Strong foundation in ML algorithms, feature engineering, and model development. Proficient in Python, SQL, Airflow, Git, BI / Streamlit.

Relocation support to one of our hubs with assistance for the employee and their family. Flexible work from one of our offices or remote. Healthcare coverage and an education budget for professional training and certifications.