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Plaid is seeking a Model Governance Lead for its Credit products team. In this role, you will own and execute the Model Governance program for Plaid's Credit Score and Insights products, ensuring that models are conceptually sound, appropriately validated, well-documented, and fit for their intended use.
You will work independently while partnering closely with model owners and cross-functional stakeholders across Product, Data Science, and Engineering. Your responsibilities include:
- Building and evolving a model risk governance framework for Plaid's Credit product portfolio
- Independently assessing the conceptual soundness, data, features, performance, stability, and intended use of credit models
- Identifying model weaknesses and translating them into clear, actionable remediation plans
- Partnering with Product, Data Science, and Engineering teams to strengthen model development and validation practices
- Creating clear, rigorous documentation that helps customers understand and trust the models behind Plaid's Credit products
- Providing thoughtful challenge and identifying risks and limitations to help teams improve models and governance practices over time
- Helping shape responsible use of machine learning as Plaid develops new Credit scores and attributes
Plaid powers financial connectivity for millions of users across thousands of companies including Venmo, SoFi, Fortune 500 companies, and major banks. The company's network covers 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, Plaid is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
REQUIREMENTS:
- 7+ years of experience building and owning a model governance program
- Experience in model validation, model risk management, model development, or Data Science
- Deep knowledge of models built for credit purposes
- Strong understanding of machine learning modeling concepts and techniques, such as XGBoost, and what constitutes rigorous, defensible model validation
- Familiarity with newer modeling techniques, such as foundation models and neural networks
- Experience assessing data and feature inputs, conceptual soundness, model performance, stability, limitations, and appropriateness of use
- A genuinely independent, detail-oriented, and curious mindset
- Comfort providing meaningful challenge to model owners and stakeholders rather than simply documenting their work
- Experience working at a FinTech is a plus
