What is this position about?
The role will help different LoD1 and/or LoD2 teams under IT Operations Control and Conduct Chief Office to improve their Data Analytics requirements. Tasks may vary between automation and consolidation of existing controls, needs for new analysis, their definition and results, generation of data visualization, adoption of A.I techniques and solutions.
Analysis may be required under different fields of Information and Business security such as Operational Controls and Information Security Controls. Requirements being functional and/or technical analysis.
What would be your typical day at BNPP Paribas look like?
Key Responsibilities
Design, Development, and Deployment of AI Models: Design, train, and deploy artificial intelligence models, particularly those related to natural language processing based on cutting-edge architectures. Leverage textual data from various banking professions, while respecting ethical and confidentiality rules, to address diverse needs such as sentiment analysis, document categorization, summary generation, information extraction, and more.
Collaboration and Project Management: Collaborate with business experts, Product Owners, developers, and other data scientists to define project problems, data sources, performance indicators, and deliverables for artificial intelligence projects. Ensure the proper implementation of AI governance on projects.
Data Analysis and Research: Adapt to various operational requirements for data analysis, including unfamiliar and first-time topics. Collect and prepare the required data for analysis, utilizing concepts such as ETL and corresponding technologies. Conduct research and analysis using multiple methods and self-learn new APIs and data collection techniques as needed.
Automation and Visualization: Develop and implement automation scripts and reusable libraries to streamline controls and analysis. Create data visuals to identify deviations or risks, using indicators such as KPI, KRI, KSF, and CSF.
Documentation and Knowledge Sharing: Document each deliverable to provide context, facilitate understanding, and enable opportunities for new insights through automated analysis. Ensure proper technical deployment, development, and usage of services provided.
Innovation and Continuous Improvement: Conduct scientific and technological monitoring of artificial intelligence to propose innovation and continuous improvement paths.
What is required for you to succeed?
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