Master's Fellow – Statistics, Predictive Models, Python, AWS

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

📋 Description

• Comprehend the IFRS 17 standard pertaining to risk adjustment.

• Evaluate existing methods for measuring Risk Adjustment under IFRS 17.

• Identify essential variables, including claims volatility, cancellations, expenses, and lapses, along with available internal data sources.

• Justify the statistical modeling methodology applied for the risk adjustment.

• Conduct consistency tests to uphold the statistical model for the risk adjustment.

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

⛳️ Requirements

• Possession of a completed Master's degree.

• Educational background or coursework in Statistics and Actuarial Science.

• Proficiency in probability and probability distributions.

• Familiarity with regression analysis, factor analysis, and time series analysis.

• Experience in programming with Python or familiarity with AWS services and applications.

• Knowledge of IFRS 17 is desirable.

• Understanding of technical provisions for private pension plans and BRGAAP (Brazilian GAAP) regulatory standards is desirable.

• Willingness to work 40 hours per week.

🏝️ Benefits

• Monthly gross stipend of BRL 9,000.

• Duration of 8 months with potential for stipend renewal.

• Opportunity for remote work (home office).

• Commitment to a 40-hour workweek.