Kurt Newman Email & Phone Number | I am a data science leader with business intelligence and enterprise risk management experience at two international banks and one regional bank including regulatory analysis, stress tests, risk model development, reporting, and interacting directly with regulators during reviews. I have extensive experience collaborating closely with cross-functional teams, including executives, product managers, and engineers, to develop data-driven information strategies including BI, data visualization, and reporting to facilitate cross-functional decision-making. One of my key strengths is an ability to clearly explain complex technical concepts. My experience encompasses the entire data science process, from data acquisition and quality monitoring to preprocessing for predictive modeling, model development, deployment and ongoing optimization. I have broad experience with a wide range of data science tools and technologies, including generative AI, Python, R, SQL, Spark, Hadoop, AWS, machine learning algorithms and numerous statistical techniques. My leadership style of mentoring/teaching has created environments that encourage innovation and continuous learning within teams that have consistently delivered business value. My ability to innovate is demonstrated by 53 patents granted. ACCOMPLISHMENTS Credit Assessment Created/obtained additional data that substantially increased the accuracy of credit assessment. The work was validated using 1.6 million open active accounts then it was used to reduce high risk exposure more than 1 billion. Fraud Detection Restructured data then derived algorithms that increased fraud detection over 400% and reduced the dollar loss rate 50%. Marketing Developed predictive scores to target, and experiment designs to measure, consumer communications. Response rates dramatically increased reducing the cost per account as much as 50%. Consumer Transaction Data Substantially improved predictive scores for all consumer products and services by incorporating more than 45 billion consumer transactions. Automated model development/validation improved productivity 10x. Enhanced numerous business objectives. Operations Developed a strategy to measure a very large number of simultaneous treatments allowing optimization of highly variable systems like internet site personalization. Data Management Produced an entirely new data environment at a regional bank with data sourcing, governance, and data quality monitoring. The environment was compliant with all financial services regulations/audits.

Kurt Newman

I am a data science leader with business intelligence and enterprise risk management experience at t...
Atlanta, Atlanta, United States

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Kurt Newman’s Email kurt.newman@wellsfargo.com

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Kurt Newman’s Location Atlanta, Atlanta, United States

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Kurt Newman’s Prior Industry Wells Fargo | Citi | Adp | Synovus | Bank Of America

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Work Experience

Info R And D

Principal Managing Partner

2024-01-01 00:00:00 - Present

Wells Fargo

Financial Health Data Provisioning, Analytics, and Actionable Insight Generation

2022-07-01 00:00:00 - 2024-01-01 00:00:00

Citi

Economic Stress Scenario Development and Execution

2021-10-01 00:00:00 - 2022-07-01 00:00:00

Adp

Senior Director Product Management Data Science

2017-05-01 00:00:00 - 2020-07-01 00:00:00

Synovus

Senior Director Business Intelligence Data Strategy and Quantitative Analytics

2014-03-01 00:00:00 - 2017-05-01 00:00:00

Bank Of America

Director Quantitative Finance Enterprise Capital Management

2012-03-01 00:00:00 - 2014-03-01 00:00:00

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FAQ About Kurt Newman

Kurt Newman is located at
Atlanta, Atlanta, United States

Kurt Newman is a I am a data science leader with business intelligence and enterprise risk management experience at two international banks and one regional bank including regulatory analysis, stress tests, risk model development, reporting, and interacting directly with regulators during reviews. I have extensive experience collaborating closely with cross-functional teams, including executives, product managers, and engineers, to develop data-driven information strategies including BI, data visualization, and reporting to facilitate cross-functional decision-making. One of my key strengths is an ability to clearly explain complex technical concepts. My experience encompasses the entire data science process, from data acquisition and quality monitoring to preprocessing for predictive modeling, model development, deployment and ongoing optimization. I have broad experience with a wide range of data science tools and technologies, including generative AI, Python, R, SQL, Spark, Hadoop, AWS, machine learning algorithms and numerous statistical techniques. My leadership style of mentoring/teaching has created environments that encourage innovation and continuous learning within teams that have consistently delivered business value. My ability to innovate is demonstrated by 53 patents granted. ACCOMPLISHMENTS Credit Assessment Created/obtained additional data that substantially increased the accuracy of credit assessment. The work was validated using 1.6 million open active accounts then it was used to reduce high risk exposure more than 1 billion. Fraud Detection Restructured data then derived algorithms that increased fraud detection over 400% and reduced the dollar loss rate 50%. Marketing Developed predictive scores to target, and experiment designs to measure, consumer communications. Response rates dramatically increased reducing the cost per account as much as 50%. Consumer Transaction Data Substantially improved predictive scores for all consumer products and services by incorporating more than 45 billion consumer transactions. Automated model development/validation improved productivity 10x. Enhanced numerous business objectives. Operations Developed a strategy to measure a very large number of simultaneous treatments allowing optimization of highly variable systems like internet site personalization. Data Management Produced an entirely new data environment at a regional bank with data sourcing, governance, and data quality monitoring. The environment was compliant with all financial services regulations/audits.