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Landon Starr

Chief Risk & Information Officer
Arivo Acceptance

Landon Starr is a well-recognized expert and leader across a variety of verticals. Landon has been asked to share his insights and leadership philosophies at events such as the Utah Governor’s Economic Summit, Moody’s Analytics Risk practitioner conference, and TransUnion’s Financial Summit on topics ranging from Early Risk Warning triggers and the future of lending, to Artificial Intelligence applications and building effective Data Science organizations.   

  

Landon has guest lectured for the University of Utah on Emerging Technology at the graduate level and sat on the advisory board for their Master’s in Business Analytics graduate program.   

  

Landon joined the Arivo team in September of 2018, leading the company’s risk, data, and technology efforts. In his role, he brings 15 years of lending experience and 20 years of technology and analytics experience to help inform and drive the strategy and execution behind the predictive models and innovative technology that are the cornerstone of the Arivo competitive advantage.  During this time, Arivo has increased its origination volume by nearly 10x, while reducing losses nearly 50%, creating a portfolio averaging a 560 FICO scores and performing at lower than a 6% CNL.   

  

Prior to Arivo, Landon built a large data science organization within Clearlink, driving significant revenue and building customer experience capabilities through leveraging machine learning and artificial intelligence applications. He led teams of software developers, data scientists, and data engineers to build cutting edge customer-facing technology solutions. Landon also spent 10 years with American Express, managing the organization focused on delivering analytics, predictive modeling, and technology for American Express’s Central Rating and Underwriting Team, which managed all of AMEX’s global exposures that exceeded $1MM, a portfolio containing over $250 Billion in assets. During his tenure at AMEX, Landon sat on the enterprise modeling committees for both commercial and consumer lines of business, while also leading modeling and analytics for “Advanced Approaches” requirements associated with Basel’s risk-based capital rules and management  

  

Landon has a Bachelor of Science in Economics and a Master of Science in Finance from the University of Utah.