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Cristián Bravo

Cristián Bravo

Hometown: Santiago, Chile

Current City: Southampton, United Kingdom

PhD, Engineering Systems; Universidad de Chile
Master in Operations Management; Universidad de Chile
Industrial Engineer; Universidad de Chile

Languages spoken: Spanish, English

Using SAS since 2013    Teaching SAS since 2016

Professional experience:
Dr. Cristián Bravo is Associate Professor of Business Analytics at Department of Decision Analytics and Risk, University of Southampton. His research focuses on the development and application of data science methodologies in the context of credit risk analytics, in areas such as deep learning, text analytics, image processing, and social network analysis. His work has been published in well-known international journals, and he serves as editorial board member in Applied Soft Computing and in the Journal of Business Analytics of the UK’s OR Society. He is the co-author of the book “Profit Driven Business Analytics”, published by Wiley in October 2017 in English and Chinese.

Courses I teach include

Credit Risk Modeling
Analytics: Putting It All to Work

LinkedIn profile:

Twitter account:

Authored/coauthored works:

Improving credit scoring by differentiating defaulter behaviour, JORS, 2015.
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions, DECSUP
How Much Effort Should Be Spent to Detect Fraudulent Applications When Engaged in Classifier-Based Lending?, IDA
Fieller Stability Measure: a novel model-dependent backtesting approach, JORS, 2015.
Granting and Managing Loans for Micro-Entrepreneurs: New Developments and Practical Experiences. EJOR

What students are saying:

Great lecturer, it is clear he handles credit risk both from a theoretical and practical standpoint. 100 percent applicable in day to day operations. The lecturer shows great experience.
Excellent lecturer, strengthens the student's trust in themselves by stimulating participation, and emphasizing improvement opportunities to tackle problems more effectively. Not only explains the topics correctly, but constantly supports other topics and areas of application.
Excellent lecturer. Maintains a great balance between theoretical topics and applied case studies. I thank him for the focus on approaching multiple real problems using the topics dealt with in the course. Excellent motivator, he encourages participation and discussion in classes, starting by the simple fact of knowing the name of his students.

What is your favorite training course and why?
Given that my research topic is Credit Risk, then the obvious answer is Credit Risk Modelling using SAS. SAS provides a great tool that simplifies and speeds up the time-to-market of credit risk modelling models, so teaching professionals of the theory and the best practices of building these scorecards and models is really satisfying.

What is the best part about teaching?
SAS has put a lot of work, and very knowledgeable people, in the development of modules that are at the same time simple to use and powerful in what they deliver. These strengths give the lecturer the opportunity to focus on the important parts of deploying solutions: understanding the problem, extracting the largest amount of knowledge from the data, and creating effective business processes that use the results that are obtained.

Do you have any hobbies, favorite activities, or hidden talents?
Travelling the world and getting in contact with people in multiple countries and of different cultures is my greatest hobby. I am also a huge geek, so following all the latest and greatest in the tech world and in scientific development outside my areas of expertise takes a lot of my free time.

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