CALL CLOSED   Marie Curie ITN Early Stage Researchers in “Data Science and Finance” (2 posts) Position 1 Research Project: Distributed and Real-Time Machine Learning for Financial Data Analysis WP1, Data Science in Finance Position 2 Research Project: Identify Financial Market Mood Indexes WP4, Big Data Applications in Finance This is an opportunity to join […]

14.04.2016 Read more

Two positions available at IJS..

  CALL CLOSED Jožef Stefan Institute (JSI) is the leading resear..

13.04.2016 Read more

Giorgio Mirone from Aarhus University..

”Developing new tools to draw inference from high-frequency data..

12.04.2016 Read more

big data in finance

BigDataFinance 2015–2019, a H2020 Marie Sklodowska-Curie Innovative Training Network “Training for Big Data in Financial Research and Risk Management”, provides doctoral training in sophisticated data-driven risk management and research at the crossroads of Finance and Big Data for 13 researchers. The main objectives are

i) to meet an increasing commercial demand for well-trained researchers experienced in both Big Data techniques and Finance and

ii) to develop and implement new quantitative and econometric methods for empirical finance and risk management with large and complex datasets.

To achieve the objectives, the emphasis is put on exploiting big data techniques to manage and use datasets that are too large and complex to process with conventional methods. Banks and other financial institutions must be able to manage, process, and use massive heterogeneous data sets in a fast and robust manner for successful risk management; nonetheless, financial research and training has been slow to address the data revolution.

Compared to the USA, Europe is still at an early stage of adopting Big Data technologies and services. Immediate action is required to seize opportunities to exploit the huge potential of Big Data within the European financial world. This world-class network consists of eight academic participants and six companies, representing banks, asset management companies, and data and solution providers.

The proposed research is relevant both academically and practically, because the program is built around real challenges faced both by the academic and private sector partners. To bridge research and practice, all researchers contribute to the private sector via secondments. BigDataFinance provides the European financial community with specialists with state-of-the-art skills in finance and data-analysis to facilitate the adoption of reliable and realistic methods in the industry. This increases the financial strength of banks and other financial institutions in Europe.


Chiara Perillo from University of Zurich

” I am very enthusiastic.. ” I am very enthusiastic about the idea of combining Big Data techniques a..

08.04.2016 Read more

Adamantios Ntakaris from Tampere University of Technology

”The dynamic environment.. ”The dynamic environment of the Signal Processing Department at the Tamper..

08.04.2016 Read more

Kestutis Baltakys from Tampere University of Technology

”BigDataFinance is an in.. ”BigDataFinance is an incredible opportunity to focus on the research̶..

07.04.2016 Read more

Martin Magris from Tampere University of Technology

  ”Being part of th..   ”Being part of this project is a long-term investment on yourself&#..

07.04.2016 Read more

Vladimir Petrov from University of Zurich

”The project can help me.. ”The project can help me to understand more about the structure of world, ..

07.04.2016 Read more

Ye Zeng from Aarhus University

” I am looking forward t.. ” I am looking forward to becoming not only a well-trained econometrician,..

06.04.2016 Read more


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