Computational approaches and data analytics in financial services: A literature reviewComputational approaches and data analytics in financial services: A literature review Ανασκόπηση Review 2020-05-282019enThe level of modeling sophistication in financial services has increased considerably over the years. Nowadays, the complexity of financial problems and the vast amount of data require an engineering approach based on analytical modeling tools for planning, decision making, reporting, and supervisory control. This article provides an overview of the main financial applications of computational and data analytics approaches, focusing on the coverage of the recent developments and trends. The overview covers different methodological tools and their uses in areas, such as portfolio management, credit analysis, banking, and insurance.http://creativecommons.org/licenses/by/4.0/Journal of the Operational Research Society70101581-1599Andriosopoulos_et_al_J. Oper. Res. Soc._70(10)_2019.pdfChania [Greece]Library of TUC2020-05-26application/pdf1.8 MBfree Andriosopoulos Dimitris Doumpos Michail Δουμπος Μιχαηλ Pardalos, Panos M., 1954- Zopounidis Konstantinos Ζοπουνιδης Κωνσταντινος Taylor & Francis Data analytics Financial modeling Financial services Risk management