Accelerating Model Velocity in Financial Institutions

According to Experian’s recent report, model development and deployment take an average of 15 months. But it shouldn’t.

Scalability is not just a nice to have, it’s a significant cost saver and drives ROI. Competitive financial institutions must address the barriers that stand in the way of their efforts to enhance their modeling capabilities – your bottom line depends on it.

Join our experts for a deeper dive into the strategies you need to take your ModelOps and model building to the next level:
  • How to find and retain critical data scientist talent
  • Checking regulatory requirements and model governance off your list seamlessly
  • How to integrate models so they can be leveraged into lending processes
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Ankit Sinha
Director of Product Management
Ankit has vast experience in business and quantitative roles across multiple continents. Most recently, he has developed an interactive, searchable and statistical dictionary for Experian’s data assets, introducing several UX-related enhancements. Previously, Ankit worked in the banking industry as Vice President of Portfolio Strategy at PNC and as a credit risk data scientist for Alliance Data Systems, among other roles.

Erin Haselkorn
Director of Analyst Relations
Erin has launched global market research and analyst relation programs, which provide her with a unique understanding of digital transformation and data insight trends. She helps organizations better understand leading data and analytics strategies.

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