- Midigator: Sr. Data Engineer - May 7, 2018.
Seeking a candidate for designing and building components focusing on the processing of incoming data, real time reporting and predictive analytics of the new Midigator AI platform.
Data Engineer, Fraud analytics, Midigator, Stream Processing, Telecommute
- Stay ahead of cyberattacks and fraud with predictive analytics - Jun 6, 2017.
Even as cyber criminals and swindlers step up their game, companies can use predictive analytics to stay ahead. Discover the full scope of IBM SPSS predictive analytics capabilities.
Fraud analytics, Fraud Detection, IBM, Insurance, Predictive Analytics
- 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
- New e-learning course: Fraud Analytics using Descriptive, Predictive and Social Network Analytics - Jan 31, 2017.
This online course teaches how to find fraud patterns from historical data using descriptive analytics, and social network learning.
Bart Baesens, Fraud analytics, Fraud Detection, SAS, Social Media Analytics
- PointPredictive: Data Scientists - May 9, 2015.
Join our rapidly growing fraud and risk analytics team in sunny San Diego, work on solving complex fraud and risk problems for the financial services industry on emerging and growing areas of fraud risk.
CA, Fraud analytics, PointPredictive, San Diego
- Apple: Data Science Engineer - Feb 26, 2015.
Apple Data Science Engineering is building an environment to enable cutting-edge data analysis over Petabytes of data, supporting Apple Analytic Insight team responsible for mitigating fraud, waste and abuse.
Apple, Austin, Data Engineer, Fraud analytics, TX, USA
- MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling - Sep 20, 2014.
MasterCard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment.
Business Leader, Fraud analytics, MasterCard, Purchase-NY, San Carlos-CA, St. Louis-MO
- MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling - Aug 8, 2014.
MasterCard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment.
Business Leader, Fraud analytics, MasterCard, Purchase-NY, San Carlos-CA, St. Louis-MO
- Interview: Ingo Mierswa, RapidMiner CEO on “Predaction” and Key Turning Points - Jun 27, 2014.
RapidMiner CEO Ingo Mierswa talks about "predaction", reasons for RapidMiner popularity, business source model, analytics to investigate fraud, key turning points, and more.
Ajay Ohri, Fraud analytics, Ingo Mierswa, Open Source, RapidMiner
- Evolution of Fraud Analytics – An Inside Story - Mar 14, 2014.
The amazing analytic innovations in payment fraud prevention can be grouped into three major categories: large data-set modeling, sparse data-set modeling, and false-positive reductions - a view from the inside.
False positive, FICO, Fraud analytics, Fraud Prevention, Neural Networks, Sparse data
