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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in validating statistical and predictive models for credit risk analysis, with strong capabilities in backtesting, performance monitoring, and adherence to credit regulations. Proficient in preparing technical reports and collaborating with multidisciplinary teams to enhance validation practices.
Highest-signal resume keywords
Model ValidationBacktesting TechniquesPython ProficiencyStatistical AnalysisCredit Risk Compliance
ATS Keywords
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Hard Skills
Statistical ModelingPredictive ModelingData Quality VerificationPerformance MonitoringTechnical Report PreparationRisk AnalysisData AnalysisMachine LearningModel Stability AnalysisIndicator Monitoring
Soft Skills
Analytical MindsetAttention to DetailVerbal CommunicationWritten CommunicationTeam Collaboration
Certifications & Qualifications
Bachelor’s Degree in StatisticsBachelor’s Degree in EconomicsBachelor’s Degree in EngineeringBachelor’s Degree in MathematicsPostgraduate Degree or MBA in StatisticsPostgraduate Degree or MBA in Data SciencePostgraduate Degree or MBA in Financial Engineering
Industry Keywords
Credit Risk AnalysisCredit PoliciesRegulationsCompliance PracticesFinancial InstitutionsValidation PracticesAudit SupportRisk ModelingBenchmarkingMultidisciplinary Teams
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Support the validation of statistical and mathematical models for credit risk analysis
- Verify adherence to assumptions, data quality, and the robustness of results
- Collaborate in the assessment of credit policies in accordance with internal guidelines, regulations, and best practices
- Participate in performance and stability testing, including backtesting, indicator monitoring, and benchmarking
- Prepare technical reports on results, identified risks, and recommendations for adjustments
- Monitor the implementation of models and policies, verifying system parameterization and controls
- Engage with Credit and Collections teams to clarify questions and propose improvements
- Support internal and external audits by providing evidence and documentation
- Contribute to the advancement of validation practices by suggesting methodologies, tools, and indicators
Requirements
What you’ll need- Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, or a related field
- Experience validating statistical and predictive models, preferably those related to credit risk and policies
- Knowledge of backtesting techniques, performance monitoring, and model stability analysis
- Ability to work with large volumes of data
- Knowledge of Python preferred
- Ability to prepare clear, concise technical reports
- Strong verbal and written communication skills
- Analytical mindset and attention to detail
- Ability to work in multidisciplinary teams
- Preferred: familiarity with credit regulations and compliance practices
- Preferred: experience at financial institutions or large companies with credit risk model validation
- Preferred: postgraduate degree or MBA in Statistics, Data Science, Financial Engineering, or a related field
- Preferred: proficiency in Python or R
- Preferred: experience with machine learning applied to risk modeling and advanced validation techniques
Benefits
Comp & perks- Reduced 32-hour workweek
- Copay-based health insurance for employees and dependents
- Clude Saúde: online medical care and other health solutions
- Copay-based dental insurance for employees and dependents
- Food and meal allowances on the Eva Card, averaging R$1,600.00 per month
- Wellhub: access to partner gyms and studios for employees and dependents
- Monthly home-office allowance of R$140.00
- Work equipment and infrastructure
- Birthday day off
- Corporate University
- Education assistance for employees and dependents, in accordance with company policy
- Language-learning assistance for employees, in accordance with company policy
- Extended maternity leave of seven months and extended paternity leave of 30 days, including adoptive mothers and fathers
- Life insurance
- Emotional health program and discounts on psychological care for employees and dependents
- Benefits Club with exclusive discounts and partnerships