Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)

Data Science Leaders

English - March 15, 2022 08:30 - 30 minutes - 27.6 MB - ★★★★★ - 82 ratings
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Model governance is vital, especially in heavily regulated industries like insurance.

Strong governance can help ensure that key models are reproducible, explainable, and auditable—all important factors for both internal model development workflows and for external regulatory compliance. But the best governance strategy isn’t always obvious.

Anju Gupta, VP Data Science & Analytics at Northwestern Mutual, is a big believer in establishing model governance practices early, and she shares her thoughts on the topic in the episode. Plus, she talks about some surprising roles on her data science team and the unique value that comes from pairing actuaries with data scientists.

We discuss:

How to establish scalable model governance practices
The intersection of actuarial work and machine learning
Roles you didn’t know you needed on your data science team

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