Fully integrated in the BNP Paribas Group, BNP Paribas Corporate and Institutional Banking (CIB) is a leading provider of solutions to two client franchises: corporates and institutionals, and operates across EMEA (Europe Middle East Africa), APAC (Asia Pacific) and the Americas. The bank is a global leader in Debt Capital Markets and Derivatives. It is a top European house in Equity Capital Markets and it has leading franchises in Specialized Financing. In Securities Services, it is a top five house worldwide.
BNP Paribas CIB strives to service the global economy by providing solutions to its clients in financing (ECM, DCM, specialized financing), flow banking (trade finance and cash management), financial advisory (M&A, project finance), global markets (interest rates, credit, foreign exchange, equity derivatives), risk management, and securities services.
Analytics Consulting, a new team created within BNP Paribas to provide Business Intelligence, is looking for data scientists to help deliver Big Data solutions.
A typical AC project has three phases. The team starts by taking large data sources, typically unstructured, sometimes internal and sometimes from the Internet, and processes them using ETL techniques. Then, it extracts actionable information (predictions, recommendations, etc.) from the cleaned up data with ML and statistical tools. Finally, the team presents the information and resulting insights to the final clients using interactive dashboards.
If you want to work in challenging data engineering problems with a transversal team, are analytically oriented or an ace in data science, then get in touch with us.
The Data Scientist needs to analyse business issues / opportunities and solve them through a deep data analytical approach using state-of-the-art Machine Learning and Statistical approaches. He works in collaboration with the Business Analysts and Data Visualisation Developers to provide data-drive insight to stakeholders within the organization.
A large variety of topics can be addressed: client segmentation, growth potential analysis, adaptive pricing, opportunity detection, etc.
Following skills are a plus
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