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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in credit risk modeling, including application score and behavior score models, utilizing SQL and Python for data analysis and machine learning. Proficient in presenting complex results to stakeholders in both Spanish and Portuguese while ensuring thorough documentation and model validation.
Highest-signal resume keywords
Credit Risk ModelingSQL ProficiencyPython ProficiencyMachine Learning Model DevelopmentAdvanced Spanish Proficiency
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceStatistical ModelingExploratory AnalysisData PreprocessingFeature SelectionModel ValidationClassificationRegressionClusteringModel Monitoring
Soft Skills
Analytical SkillsCritical ThinkingClear CommunicationIndependent LeadershipAttention to Quality
Tools & Technologies
PandasScikit-LearnStatsmodelsSQLPython
Industry Keywords
BankingCredit BureausConsultingModel RecalibrationStakeholder Engagement
Tech Stack
Tools & technologiesPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Lead credit modeling initiatives for operations in Argentina, proposing technical approaches.
- Develop application score and behavior score models, from dataset preparation through final validation.
- Conduct exploratory analyses, data preprocessing, and feature selection using SQL and Python.
- Apply statistical and machine learning techniques to build and compare models.
- Validate model performance and stability before deployment.
- Monitor models in production, tracking performance, stability, and predictive alignment over time.
- Recommend recalibration and redevelopment when performance declines.
- Document models, assumptions, and results for business and risk teams.
- Present results and recommendations to credit and risk teams in Portuguese and Spanish.
- Work closely with credit, risk, and technology teams, engaging with Spanish-speaking stakeholders.
Requirements
What you’ll need- Bachelor's degree in Statistics or a related field.
- 5+ years of experience in data science or statistical modeling.
- Proven experience in credit risk modeling, including application score and behavior score models.
- Proficiency in SQL and Python for data manipulation, analysis, and modeling.
- Experience developing and validating machine learning models, including classification, regression, and clustering.
- Familiarity with libraries such as pandas, scikit-learn, statsmodels, or similar tools.
- Advanced Spanish proficiency.
- Strong analytical and critical-thinking skills, with the ability to challenge model assumptions and results.
- Clear communication skills when presenting models and results to technical and business stakeholders.
- Ability to independently lead a workstream and prioritize effectively.
- Strong attention to quality and thorough documentation of deliverables.
- Comfortable working with teams and stakeholders from another country.
- Master's degree in Statistics or a related field is a plus.
- Experience in banking, credit bureaus, or consulting is a plus.
- Experience monitoring models in production is a plus.
Benefits
Comp & perks- Ongoing training and professional development
- 100% remote work
- This position is also open to candidates with disabilities