Reference number : GC-2017-Q4-01048, amendment number : , agreement type : G, recipient legal name : Levin, Yuri (Queen’s University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : The project seeks to address methodological challenges in Analytics faced by the Canadian financial industry. These challenges arise both from increasing competition from financial institutions outside Canada and from emerging competition from financial service providers in the Information Technology industry. Both sources of competition rely heavily on Analytics: the discipline of improved data-driven decision-making using sophisticated algorithms. To remain competitive, Canadian banks need not only to incorporate best Analytics practices in their operations but must become innovation leaders in financial Analytics._x000D_
_x000D_
The main focus of this project is on methodologies that optimize banks' relationships with their customers with the goal of increasing the lifetime value of those relationships. We will develop methods for customer behaviour analysis, price and resource optimization, large-scale stochastic risk models, as well as tools for supporting data and algorithmic infrastructure including Big Data, large-scale optimization and test-and-learn algorithms._x000D_
 _x000D_
We anticipate that students and postdoctoral fellows participating in this project will become highly trained researchers capable of moving into academic, governmental or industry positions and making a difference wherever they go. In particular, they will be able to lead research and development in the areas of Analytics and Big Data for the Canadian financial industry._x000D_, program purpose french : The project seeks to address methodological challenges in Analytics faced by the Canadian financial industry. These challenges arise both from increasing competition from financial institutions outside Canada and from emerging competition from financial service providers in the Information Technology industry. Both sources of competition rely heavily on Analytics: the discipline of improved data-driven decision-making using sophisticated algorithms. To remain competitive, Canadian banks need not only to incorporate best Analytics practices in their operations but must become innovation leaders in financial Analytics._x000D_
_x000D_
The main focus of this project is on methodologies that optimize banks' relationships with their customers with the goal of increasing the lifetime value of those relationships. We will develop methods for customer behaviour analysis, price and resource optimization, large-scale stochastic risk models, as well as tools for supporting data and algorithmic infrastructure including Big Data, large-scale optimization and test-and-learn algorithms._x000D_
 _x000D_
We anticipate that students and postdoctoral fellows participating in this project will become highly trained researchers capable of moving into academic, governmental or industry positions and making a difference wherever they go. In particular, they will be able to lead research and development in the areas of Analytics and Big Data for the Canadian financial industry._x000D_, agreement title english : Large-scale customer analytics methodologies in financial services, agreement title french : Large-scale customer analytics methodologies in financial services, agreement number : CRDPJ, agreement value : 900000.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2021-2022)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2021-2022)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada