Master's Fellow, Statistics, Predictive Modeling, Python, AWS

Job not on LinkedIn

🕒 August 14

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 18%

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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 IFRS 17 standard with respect to the risk adjustment • Survey current measurement practices for the Risk Adjustment under IFRS 17 • Identify critical variables and available internal data sources • Justify the methodology of the statistical model used for the risk adjustment • Test the consistency of the statistical model for the risk adjustment • Prepare documentation and provide support for internal and external audits

🎯 Requirements

• Completed Master's degree • Degree in Statistics or Actuarial Science • Knowledge of probability theory and probability distributions • Knowledge of regression analysis, factor analysis, and time series • Programming in Python or experience with AWS • Familiarity with IFRS 17 (desirable) • Familiarity with technical provisions for private pension plans and BRGAAP regulatory standards (desirable) • Availability for 40 hours per week • Duration of 8 months, with possibility of stipend renewal

🏖️ Benefits

• Stipend of R$ 9,000.00 • Remote work • Possibility of stipend renewal

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