Data Scientist

The role will be responsible for designing and developing machine learning and AI models that directly impact the firm’s core operations, from credit and fraud detection to customer behavior and operational efficiency.

You’ll be joining a culture that values continuous learning through its Communities of Practice, where you’ll have the chance to mentor others and contribute to their enterprise-wide AI risk management standards.

Responsibilities

• Design & Build: Develop end-to-end ML, statistical, and AI models for applications like credit risk, fraud prevention, and behavioral analytics.
• Deep-Dive Analysis: Own the full pipeline: data wrangling, feature engineering, and exploratory data analysis (EDA).
• Productionize: Validate models and partner with engineering teams to deploy your work into live production environments.
• Bridge the Gap: Translate complex technical results into clear, actionable ...