Data Scientist - Digital Finance

Your responsibilities include, but not limited to: Support on the Python development of new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve status quo.
Bring understanding of one or more areas of data science and demonstrate practical knowledge of techniques.
Help developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources.
Role Requirements: 1-3 years of experience as Data Scientist Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field Academic experience in a multidisciplinary data & analytics environment or in research.
Experience in predictive modelling and large data analysis.
Experience in Python Experience in SQL Strong analytical and problem-solving skills.
Good communication and presentation skills Interest to grow and develop in the Finance sector Fluent English (written and verbal) #J-18808-Ljbffr