data analyst for banking and finance

Ededge is an organization that supports young people in exploring technology and other high-growth fields through training, webinars, and industry experience. It provides learning opportunities featuring accomplished leaders and practical education in specialized fields.

• Work with the data science team to gather, refine, and analyze extensive datasets;
• Apply machine learning and data mining methods to derive insights from large datasets and identify Excel interface structures;
• Use Python for Exploratory Data Analysis in practical business contexts, including risk analytics in banking and finance;
• Develop scientific tests and optimize model performance using no-code databases and data mining technologies;
• Collaborate with a multidisciplinary team to build machine learning pipelines for commerce, finance, and procurement applications;
• Engage with internal stakeholders to understand business data, develop hypotheses, and evaluate strategies using T-tests;
• Address specific challenges and devise solutions using modeling technologies such as bike share systems;
• Apply advanced analytical techniques using Tableau;
• Create reports and presentations to communicate data analysis methodologies and findings.

• Strong problem-solving and critical thinking abilities;
• Currently pursuing a degree and demonstrating commitment to continuous learning and professional growth;
• Excellent communication and teamwork skills;
• Ability to work independently and remotely.

• Unpaid internship;
• Internship employment type;
• Remote role for candidates in the European Union.