episode 42

Governing Models and Structuring Teams in Highly Regulated Industries

Data Science Leaders | 30:10 | March 16, 2022

Data Science Leaders: Anju Gupta

Get new episodes 
in your inbox

Return to podcast home

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

Popular episodes

Featured Guest

Mike Gualtieri, VP and Principal Analyst at Forrester

EPISODE 72May 03, 2024

Surviving and thriving as an AI leader in a Gen AI world

Listen Now | 43:41

James Cham

Partner, Bloomberg Beta

EPISODE 71April 11, 2024

Unlocking the disruptive potential of generative AI: a VC perspective

Listen Now | 28:49

Volodimir Olexiouk

Director of Scientific Engagement and Data Science Team Lead, BioLizard

EPISODE 70March 28, 2024

Overcoming the data challenges of AI-driven drug discovery

Listen Now | 36:49

See why Fortune 100 data science leaders choose Domino