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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSparkSQL
About the role
Key responsibilities & impact- Responsible for leading and advancing advanced Analytics and Machine Learning solutions applied to risk (credit, fraud, AML and collections), connecting data and models to the business strategy, with a strong focus on modeling, feature creation (feature engineering) and decision-making.
- Provide technical leadership for strategic modeling and Advanced Analytics projects.
- Develop features and advanced predictive models (credit scoring, fraud detection, collections, etc.).
- Build frameworks and best practices for the development and monitoring of features and models.
- Work closely with business stakeholders to translate problems into analytical solutions.
- Contribute to business studies, hypothesis testing and AI/ML initiatives.
Requirements
What you’ll need- Proficiency in Python and SQL (Spark is a strong plus).
- Solid foundation in statistics and applied machine learning.
- Experience with feature creation and exploratory data analysis.
- Experience with classification models (GBM, XGBoost, Random Forest, etc.).
- Experience with feature engineering and feature stores.
- Experience with model monitoring and model lifecycle (MLOps).
- Experience with large-scale data and Cloud environments (AWS / GCP / Azure).
- Experience building risk models (credit, fraud or anti-money laundering - AML).
Benefits
Comp & perks- Meal allowance and/or meal voucher.
- Health and dental insurance.
- Life insurance.
- Partnerships with TotalPass and ZenKlub.
- Extended maternity and paternity leave.
- Childcare assistance.
- Up to 50% discounts on postgraduate and MBA programs at major institutions such as FIA, FAAP and PUCRS.
- No dress code: the important thing is to wear what makes you comfortable.
- Birthday day off.
- Baby gift for newborns.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLSparkstatisticsapplied machine learningfeature engineeringclassification modelsGBMXGBoostRandom Forest
Soft Skills
technical leadershipproblem translationcollaboration
