Master's Scholarship, Risk Hub, Data Analysis, AWS

Job not on LinkedIn

🕒 January 29

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 46%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Instituto Euvaldo Lodi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1969

🤝 B2B

📚 Education

💼 Consulting

B2B • Education • Consulting

IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.

📋 Description

• Understand the current data structure and validations • Perform a detailed mapping of the Risk Hub (Central de Riscos) • Analyze public Bacen metadata and available internal data • Conduct interviews with stakeholders to identify opportunities • Run AI/Machine Learning experiments and perform advanced analyses

🎯 Requirements

• Education: Master's degree • Preferred fields: Master's in Engineering, Data Science, Statistics, Economics, Information Technology • Experience with AWS or equivalent cloud platforms • Ability to apply artificial intelligence / machine learning techniques • Familiarity with the data structure of regulatory documents (e.g., DOC 3040, 3050, 3044) • Prior experience with projects involving regulatory data or credit risk

🏖️ Benefits

• Stipend: R$ 9,000.00 • Availability: 40 hours per week • Duration: 12 months • Remote work (home office)

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