Scott Murff
5.0
(7)
Studied at Stanford University
Works at McKinsey & Company
Successful clients at
Not currently taking new clients
Work Experience
Principal Product Manager
McKinsey & Company
April 2022 - Present
Led codification of McKinsey’s accumulated expertise from $100B+ of CFO-certified cost reduction and revenue generating impact across 1,600+ client transformations Led 0 → 1 product build of performance management web app Developed C-suite memo and dashboards containing core performance KPIs delivered and reviewed monthly
Adjunct Professor
Brigham Young University
January 2022 - Present
Designed and taught 3 business strategy courses: Strategy & Economics, Strategic Thinking, and Strategy Analytics Achieved 4.8/5.0 rating from students: "one of the best teachers I have been exposed to, so clear he cared about us and what he was teaching", "Loved this course 100%", "class should be the model for many college courses"
Engagement Manager
McKinsey & Company
September 2020 - April 2022
Instrumental in winning engagement proposals with leading global companies Generated $1MM in new revenue during 1st year of data partnerships that I designed and negotiated Helped clients increase customer acquisition through the use of advanced analytics
Analytics Associate
McKinsey & Company
July 2018 - September 2020
Drove analytics and change management during massive corporate-wide transformation for a leading bank. Designed the AI model development Center of Excellence for a Fortune 500 bank
Vice President
Zions Bancorporation
2016 - July 2018
Led team of Quantitative Analysts in developing statistical models to forecast $65 billion balance sheet and $2 billion income statement Regularly presented to C-level executives and regulators
Quantitative Analyst
Zions Bancorporation
August 2012 - 2016
Developed and validated credit risk, balance sheet, and income statement forecasting models using R, SAS, SQL Pioneered use of open source tools to development models in legacy SAS environment
Risk Analyst
U.S. Department of the Treasury
May 2009 - August 2012
Co-authored a peer reviewed paper titled: 'Determinants of the Incidence of Loan Modifications' published in the Journal of Banking and Finance (June 2013) Used SAS and STATA to perform data management and to conduct statistical analysis on very large datasets (billions of records) for our Compliance (HMDA) and Credit Risk (PD, LGD, EAD) sub units. Recruited and managed summer interns
Education
Stanford University
Master’s Degree, Management Science & Engineering
2016 - 2018
Dual concentrations in Technology & Engineering Management and Financial Analytics. Studied AI/ML algorithms (e.g. neural networks) under Jerome H. Friedman and Robert Tibshirani, pioneers in the field. The Technology and Engineering Management concentration focused on managing technical organizations, fostering innovation, and dealing with rapidly evolving technologies and dynamic markets. My coursework focused on developing a culture of successful innovation and entrepreneurship, along with methods for decision making under uncertainty, financial analysis, and strategic planning. The Financial Analytics concentration combines an in-depth study of quantitative techniques with practical, hands-on business problem solving. I studied mathematical models and quantitative tools to solve complex problems in finance practice. The concentration exploits the intellectual ties between finance, operations research, computer science and engineering.
Brigham Young University
Bachelor's Degree, Economics
2002 - 2008
Focused on quantitative methods, i.e. econometrics and statistics using SAS and STATA Elected to the Honor Society of Phi Kappa Phi (top 10 percent of senior class) Worked as a mathematics teaching assistant and later as a research assistant in the finance department Minor in Math
7 Reviews
Overall Rating
5.0
Scott has helped clients get into these companies: