Data Scientist - Credit (Retros)

📋 Description

• Deep-dive into model performance for clients, triage issues, and identify opportunities to improve
• Analyze Plaid's unique data to identify emerging credit risk signals and build and evaluate credit
• Create tailored recommendations for clients based on their data and Plaid's insights.
• Build and maintain data pipelines, including ETL processes using tools such as dbt.
• Develop metrics, alerts, and dashboards to monitor production machine learning model performance.
• Own the process of developing hands-on recommendations for incorporating cash flow insights into

🎯 Requirements

• 2–5 years of industry experience in a financial services Data Science role.
• Deep familiarity with SQL and Python.
• Deep understanding of credit risk and the development of underwriting models.
• Hands-on credit expertise building and maintaining credit policies for lenders.
• Knowledge of the lending lifecycle and how to optimize each step, including marketing, acquisition
• Demonstrated ability to make data-driven decisions.

🎁 Benefits

• Additional compensation in the form(s) of equity and/or commission are dependent on the position
• Comprehensive benefit plan, including medical, dental, vision, and 401(k).