Junior Credit and Collections Validation Analyst

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

📋 Description

• Assist in the validation of statistical and mathematical models pertaining to credit risk analysis.

• Ensure compliance with assumptions, data integrity, and the reliability of outcomes.

• Collaborate on evaluating credit policies in line with internal guidelines, regulations, and industry best practices.

• Take part in performance and stability assessments, which include backtesting, monitoring indicators, and benchmarking.

• Draft technical reports detailing findings, identified risks, and recommendations for modifications.

• Oversee the application of models and policies, confirming system parameterization and controls.

• Work closely with Credit and Collections teams to address inquiries and suggest enhancements.

• Assist during internal and external audits by providing necessary evidence and documentation.

• Contribute to the evolution of validation practices by proposing methodologies, tools, and indicators.

⛳️ Requirements

• Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, or a related discipline.

• Experience in validating statistical and predictive models, particularly those associated with credit risk and policies.

• Familiarity with backtesting methods, performance monitoring, and model stability evaluation.

• Capability to handle large data sets.

• Proficiency in Python is preferred.

• Skill in creating clear and concise technical reports.

• Excellent verbal and written communication abilities.

• Strong analytical skills and attention to detail.

• Ability to thrive in multidisciplinary teams.

• Preferred: knowledge of credit regulations and compliance standards.

• Preferred: experience in financial institutions or large organizations with credit risk model validation.

• Preferred: postgraduate degree or MBA in Statistics, Data Science, Financial Engineering, or a similar field.

• Preferred: proficiency in Python or R.

• Preferred: experience with machine learning applications in risk modeling and advanced validation techniques.

🏝️ Benefits

• Reduced 32-hour workweek.

• Copay-based health insurance for employees and their dependents.

• Clude Saúde: online medical services and additional health solutions.

• Copay-based dental insurance for employees and their dependents.

• Food and meal allowances on the Eva Card, averaging R$1,600.00 monthly.

• Wellhub: access to partner gyms and studios for employees and their dependents.

• Monthly home-office allowance of R$140.00.

• Provision of work equipment and infrastructure.

• Day off for birthdays.

• Corporate University.

• Educational assistance for employees and their dependents, in accordance with company policy.

• Language learning support for employees, in accordance with company policy.

• Extended maternity leave of seven months and paternity leave of 30 days, applicable to adoptive parents as well.

• Life insurance coverage.

• Emotional health program and discounts on psychological care for employees and their dependents.

• Benefits Club with exclusive discounts and partnerships.