Working closely with clients both pre and post-sales to help evaluate product offerings and craft risk mitigation strategies to optimize use (e.g. via retro analysis)
Deep dive and triage model(s) performance for clients and identify opportunities for improvements
Explore Plaid’s unique data to identify emerging credit risk vectors
Developing new features to improve ML risk models
Building data pipelines using tools like DBT to automate ETL processes
Crafting metrics, alerts, and dashboards to monitor ML production model performance
Requirements
1-4 years of experience as a data scientist or related role
Understanding of credit risk and the development of underwriting models
Hands on credit expertise building and maintaining actual credit policies for lenders.
Knowledge of lending lifecycle and how to optimize each step (marketing, acquisitions, customer management, collections/recoveries)
Understanding how to use credit models in decisioning.
Demonstrated ability to make data driven decisions
Benefits
Comprehensive benefit plan, including medical, dental, vision, and 401(k).
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