Scott Fontaine

Scott M. Fontaine

Senior Director, Residual Setting and Remarketing at Ally Financial Inc.

Location:
500 WOODWARD AVE. FLOOR 10, Detroit, Michigan, United States

General Information

Experience

Director  - Residual Setting

Vice President, Quantitative Risk Modeling  - General Electric Company

Vice President  - RVI Group companies

Principal  - The Campbell Group

Education

PhD  - Boston College

Affiliations

Board Member  - ARN Automotive Society

Director, Residual Setting, Committee Member and ATS Board Director  - The Automotive Training Solutions

Recent News  

Scott Fontaine, Sr. Director, Residual Setting and Remarketing Strategy, Ally
Scott Fontaine is a Director at Ally Financial Inc. Scott leads Ally's Lease Residual Setting, Remarketing Strategy and Auction Floor Setting. Prior to Ally, Scott worked for GE Capital in their Commercial Aviation Services division where he held the role of Vice President, Quantitative Risk Modeling in charge of the Advanced Analytics team for 4 years. Scott's team was responsible for all forward-looking models including Residual Values, Default, Loss, Economic Capital, Line Limits and Stress Testing. Prior to his role at GE, Scott spent 4 years at RVI Group (Residual Value Insurance) as Vice President and Head of Quantitative Analytics. In this capacity, Scott and his team developed forecasting tools for automotive residual values as well as lease-end behaviors. In addition, Scott held roles at Campbell Group LLC building models for automotive finance companies and at Standard & Poor's DRI (now Global Insight) as an analyst in their Automotive Group. Scott completed his PhD training in Economics from Boston College with concentrations in Econometrics and Industrial Organization.

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Scott Fontaine, Board Director
Director, Residual Setting and Remarketing Strategy, Ally Scott Fontaine is a Director at Ally Financial Inc. Scott leads Ally's Lease Residual Setting, Remarketing Strategy and Auction Floor Setting. Prior to Ally, Scott worked for GE Capital in their Commercial Aviation Services division where he held the role of Vice President, Quantitative Risk Modeling in charge of the Advanced Analytics team for 4 years. Scott's team was responsible for all forward-looking models including Residual Values, Default, Loss, Economic Capital, Line Limits and Stress Testing. Prior to his role at GE, Scott spent 4 years at RVI Group (Residual Value Insurance) as Vice President and Head of Quantitative Analytics. In this capacity, Scott and his team developed forecasting tools for automotive residual values as well as lease-end behaviors. In addition, Scott held roles at Campbell Group LLC building models for automotive finance companies and at Standard & Poor's DRI (now Global Insight) as an analyst in their Automotive Group. Scott completed his PhD training in Economics from Boston College with concentrations in Econometrics and Industrial Organization.

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Scott Fontaine, Director, Residual Setting, Ally - Committee Member & ATS Board Director
Scott Fontaine is a Director at Ally Financial Inc. Scott leads Ally's Lease Residual Setting, Remarketing Strategy and Auction Floor Setting. Prior to Ally, Scott worked for GE Capital in their Commercial Aviation Services division where he held the role of Vice President, Quantitative Risk Modeling in charge of the Advanced Analytics team for 4 years. Scott's team was responsible for all forward-looking models including Residual Values, Default, Loss, Economic Capital, Line Limits and Stress Testing. Prior to his role at GE, Scott spent 4 years at RVI Group (Residual Value Insurance) as Vice President and Head of Quantitative Analytics. In this capacity, Scott and his team developed forecasting tools for automotive residual values as well as lease-end behaviors. In addition, Scott held roles at Campbell Group LLC building models for automotive finance companies and at Standard & Poor's DRI (now Global Insight) as an analyst in their Automotive Group. Scott completed his PhD training in Economics from Boston College with concentrations in Econometrics and Industrial Organization.

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