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PhD Scholarship Holder – Statistical Modeling, Causal Inference, and Machine Learning

Job not on LinkedIn

🕒 September 11

🇧🇷 Brazil – Remote

💵 R$11k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Instituto Euvaldo Lodi's careers page, not through a job board

First seen by Remote Rocketship September 11

Still open on Instituto Euvaldo Lodi's site. Checked 2 days ago.

Logo of Instituto Euvaldo Lodi

Instituto Euvaldo Lodi

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

• Define the core methodology for measuring the value of financial collateral • Structure causal hypotheses related to sufficiency, release of excess collateral, basket composition, and customer service channels • Develop a prioritization model that considers value, risk, effort, and data quality • Guide experiment planning and validation using real-world data • Define metrics related to potential capital, LGD, recovery, pricing, limits, risk appetite, and customer experience • Assess the methodology’s originality and its potential for producing a scientific paper or patent application

🎯 Requirements

• Completed PhD • Degree in Statistics, Data Science, Computer Science, Engineering, Applied Mathematics, Operations Research, Quantitative Economics, or a related field • Causal inference • Statistical modeling • Machine learning • Optimization • Experimental design • Scenario simulation • Model evaluation • Validation metrics • Model explainability • Python • SQL • Technical and scientific documentation • Experience with implemented projects involving financial collateral, preferably in production environments • Measurable results • Technical and scientific publications or intellectual property registrations related to the subject

🏖️ Benefits

• Gross monthly scholarship stipend of BRL 11,000 • Possibility of scholarship renewal or permanent employment • Remote work • Availability for 40 hours per week • 12-month term

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