Data science in risk, finance and beyond
Abstract:
One consequence of the progressing digitalization in the (financial) industry is that (financial) companies are recording more and new - partly unstructured - data. These data have an indefinite but undoubted value, given a proper understanding and taking appropriate actions. The subject of data science are the methods, processes and systems used in the industrial, financial or healthcare sectors to extract knowledge and insights from data to define and implement accurate actions. But how does it work? What are the challenges and lessons learned? And why are physicists very well suited to answer such questions?
Come and join the lectures of the d-fine team to find answers to these questions and to gain deeper insight into this thrilling topic! With d fine being one of the leading providers of demanding quantitative and technical consulting projects in Europe, we will provide you with first-hand insights into our day-to-day project work - from classical financial institutions to energy companies and digital health, from quantitative finance to complex IT.
Agenda:
- Monday, 09.10.2017, 14:00 - 15:30: Dr Jörn Rank, "defining d-fine"
- Monday, 09.10.2017, 15:30 - 17:00: Dr Arnd Hübsch, "From Physics to Finance"
- Tuesday, 10.10.2017, 14:00 - 17:00: Dr Ulf Menzler, Dr Ferdinand Graf, "Machine Learning, Text Analytics and Networks"
- Wednesday, 11.10.2017, 14:00 - 17:00: Dr Klaus Osterloh, "Market risk modeling in a new era of finance"
- Thursday, 12.10.2017, 14:00 - 17:00: Dr Christina Bender, Sandro Raabe, part 1: "Healthcare 4.0 - benefits and limits of big data and smart technology for the health care sector", part 2: "Live-demo"
- Friday, 13.10.2017, 14:00 - 17:00: Dr Tilman Huhne, Sebastian Hanneken, "Digitising the energy industry - from data analytics to automatised business processes"