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

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Comprehend the IFRS 17 standard regarding the risk adjustment.

• Examine existing measurement practices for the Risk Adjustment in line with IFRS 17.

• Determine key variables and accessible internal data sources.

• Validate the methodology employed in the statistical model for risk adjustment.

• Evaluate the consistency of the statistical model used for risk adjustment.

• Create documentation and offer support for both internal and external audits.

⛳️ Requirements

• Master's degree completed.

• Degree in Statistics or Actuarial Science.

• Proficient understanding of probability theory and probability distributions.

• Knowledge of regression analysis, factor analysis, and time series analysis.

• Programming skills in Python or experience with AWS.

• Familiarity with IFRS 17 is desirable.

• Knowledge of technical provisions for private pension plans and BRGAAP regulatory standards is a plus.

• Availability for a full-time commitment of 40 hours per week.

• Engagement for a duration of 8 months, with the potential for stipend renewal.

🏝️ Benefits

• Monthly stipend of R$ 9,000.00.

• Opportunity for remote work.

• Potential for stipend renewal.