You will join Credit Agricole CIB Americas as an Electronic Market Data Analyst. The Capital Markets electronic offering is a means to deliver the commercial and product strategy to its clients. In this context, the eSales team, embedded within the global Electronic Client Connectivity team, is a specialised, strategy and product-driven team, supporting the bank's distribution strategy in its electronic dimension. The key responsibilities of the team are: - Understand clients' needs and evolving trading strategies to guide the bank's distribution strategy - Partner with internal and external clients to solve problems and contribute to growth generation - Lead change management efforts across the bank to extract value from market electronification Your concrete missions will be the following: Maintenance of analytical dashboards Synthesize information from data platforms of trading venues. Maintenance and troubleshooting of automated data pipeline developed in Python/VBA. Maintenance and troubleshooting of the visuals, metrics, and data connections within the Power BI dashboards. Act as backup in BCP plan. Ongoing development of analytical dashboards Improve efficiency through the establishment of new data delivery channel (SFTP, etc.), the integration of data scraping tool into Crédit Agricole CIB technology framework, regular code reviews, and dashboard optimization. Assist with driving new analytics initiatives across the regions. Develop commentary for dashboards and reports that highlight insights as a cohesive and actionable story. Partnering with internal and external stakeholders to solve problems and contribute to growth generation. Understand internal stakeholders' needs. Create and publish customized and standardized reporting packs. Prepare first-level business analysis. Understand clients' needs and evolving trading strategies to guide the bank's distribution strategy. Understand trade lifecycle and how it's reflected in the workflow of in-house applications. Assist with issue and outage handling with sales and trading, technology, operations, external brokers, and other stakeholders. Connecting with External Vendors constantly to improve on client direction. Presenting and meeting Clients to present data findings. To be eligible for a VIE: Be less than 29 years old Be postgraduate of a Master degree Be EU citizen Don't forget to upload your resume and your cover letter in English ! A first experience in data analysis is a plus. Are you our future VIE ? You are postgraduate of a Master degree from an University, a Business School or an Engineering School with a specialization in data science, quantitative finance
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