- Make Connections With SAS Live Web Learning - May 11, 2021.
Through a year of uncertainty, the demand for analytics skills and the desire to continue skills development remained consistent. Take this opportunity to join SAS expert instructors and learn the latest skills in a Live Web class.
Analytics, Credit Risk, Data Science Education, Online Education, SAS
- Why Vegetarians Miss Fewer Flights – Five Bizarre Insights from Data - Jan 12, 2019.
A frenzy of number-crunching is churning out a heap of insights that are colorful, sometimes surprising, and often valuable. We explain how this works, and investigate five bizarre discoveries found in data.
Credit Risk, Eric Siegel, Healthcare, Machine Learning, Overfitting, Uber
- Top 5 domains Big Data analytics helps to transform - Nov 23, 2018.
Big data analytics gives a competitive advantage to companies across many industries, especially, financial services, e-commerce, aviation, transportation, logistics, and energy. It enables to reduce downtime, mitigate risks, cut costs, and improve performance.
Aviation, Big Data, Big Data Analytics, Credit Risk, Data Analytics, Ecommerce, Finance, Security
- New Book: Credit risk analytics, The R Companion - Mar 16, 2018.
Credit risk analytics in R will enable you to build credit risk models from start to finish, with access to real credit data on accompanying website, you will master a wide range of applications.
Analytics, Bart Baesens, Credit Risk, R
Top 10 Videos on Machine Learning in Finance - Sep 29, 2017.
Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!
Credit Risk, Finance, Investment Portfolio, Machine Learning, Python, R, Stocks, Tutorials, Videolectures, Youtube
- New-Age Machine Learning Algorithms in Retail Lending - Sep 13, 2017.
We review the application of new age Machine Learning algorithms for better Customer Analytics in Lending and Credit Risk Assessment.
Credit Risk, Customer Analytics, Deep Learning, Fintech, Machine Learning, Recurrent Neural Networks
- What Is Optimization And How Does It Benefit Business? - Aug 10, 2017.
Here we explain what Mathematical Optimisation is, and discuss how it can be applied in business and finance to make decisions.
Business, Credit Risk, Decision Making, Optimization
- E-learning courses on Advanced Analytics, Credit Risk Modeling, and Fraud Analytics - Apr 18, 2017.
These online courses, developed by Prof. Bart Baesens and SAS, include videos, case studies, quizzes, and focus on focusses on the concepts and modeling methodologies and not on specific software.
Advanced Analytics, Bart Baesens, Credit Risk, Fraud analytics, Online Education, SAS
- 7 Ways How Data Science Fuels The FinTech Revolution - Sep 16, 2016.
Here are 7 ways how data science is at the core of the current transformation of the financial sector.
Credit Risk, Customer Value, Data Science, Fintech, Fraud Detection
- Capital Match (Singapore): Head of Data Science - Sep 14, 2016.
Experienced data scientist / SW engineer with passion for data for a role of the Head of Data Science. Data science needs impact every stage of our work flow - customer acquisition, operational automation, risk and underwriting, portfolio servicing, and product development.
Credit Risk, Data Scientist, Director, Fintech, Singapore
- Self-Paced E-Learning course: Credit Risk Modeling - Mar 8, 2016.
The course covers basic and advanced modeling, including stress testing Probability of Default (PD), Loss Given Default (LGD ) and Exposure At Default (EAD) models.
Bart Baesens, Credit Risk, Online Education, Risk Modeling
- Hiring? Approving Mortgages? It’s the Same Thing (Risk …) - Nov 13, 2015.
Traditionally hiring and approving mortgage are completely different problems. But, when you look at them from a data science perspective, both things do have similar characteristics.
Credit Risk, Greta Roberts, Hiring, Risk Assessment
- inVenture: Data Analyst - Nov 11, 2015.
Inventure is building the future of credit in emerging markets. We have helped tens of thousands of people access instant loans for growing their businesses, and will reach millions more in the next few years.
CA, Credit Risk, Data Analyst, InVenture, Santa Monica
- Big Data Analytics for Lenders and Creditors - Oct 9, 2015.
Credit scoring means applying a statistical model to assign a risk score to a credit application or to an existing credit account. Here we are suggesting how data science and big data can help making the better sense of different risk factors and accurate predictions.
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Big Data, Credit Risk, Goran Dragosavac
- Online course: Credit Risk Modeling - Oct 7, 2015.
The course covers basic and advanced modeling, including stress testing Probability of Default (PD), Loss Given Default (LGD ) and Exposure At Default (EAD) models.
Bart Baesens, Credit Risk, Online Education, Risk Modeling
- Webinar: Tips & Tricks for Customer Segmentation, July 21 - Jul 10, 2015.
We show customer segmentation of a German banking database, using different attributes to identify segments likely to be good credit risks. We will use CART and other algorithms like gradient boosting.
CART, Credit Risk, Customer Analytics, Salford Systems
- Hyundai Capital America: Principal Statistician - Oct 31, 2014.
Managing the design, development, and implementation of statistical services to assess Loan and Credit Portfolio risk status and trends in Commercial and Consumer Loan Portfolio.
Credit Risk, Hyundai Capital America, Irvine-CA, Statistician
- Business Analytics Innovation Summit 2014 Chicago: Day 1 Highlights - Jul 9, 2014.
Highlights from the presentations by Business Analytics leaders from Bank of America, Northern Trust, AOL and Liberty Mutual on day 1 of Business Analytics Innovation Summit 2014 in Chicago.
Business Analytics, Conference, Credit Risk, Customer Experience, IE Group, Predictive Analytics
- Kreditech: Software Developer for Data Science Team - May 27, 2014.
Kreditech is the DIGITAL LENDING company which provides easy, fast access to online loans to consumers worldwide. Automate automation of processes to ensure efficient developments and scalability, speeding up machine learning scoring.
Credit Risk, Hamburg-Germany, Kreditech
- Enova: Sr. Data Scientist - May 8, 2014.
Responsible for automating current processes and researching systems in data management while supporting the Credit Risk Analytics, Business Analytics, Fraud Analytics and Marketing Analytics teams.
Chicago-IL, Credit Risk, Enova
- Are Big Data and Privacy at odds? FICO Interview - Apr 23, 2014.
We discuss privacy, FICO scores, balancing predictive power and non-discrimination, whether technology bringing big data and privacy closer, and most important privacy issues for FICO.
Andrew Jennings, Credit Risk, FICO, Marketplace, Privacy
- Kreditech: Junior Data Scientist – Business Analyst - Mar 20, 2014.
If you a data scientist by heart and soul, search for a demanding application for machine learning, value creative approaches, and want to work in Hamburg, this job is for you.
Credit Risk, Hamburg-Germany
