Technical Lead, Data – Credit Modeling
LWSA
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
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Job Level
About the role
- Development of statistical models: design, test and implement Credit Scoring, billing/invoicing, and expected loss models.
- Monitor the performance of models in production.
- Insights extraction: transform raw data into predictive features to improve model accuracy.
- Identify new data sources (credit bureaus, alternative data) to increase models' predictive power.
- Present results and recommend changes to credit policies.
Requirements
- Degree in Statistics, Mathematics, Economics, Engineering, Computer Science or related fields.
- Strong statistical knowledge.
- Experience in credit modeling and the end-to-end credit lifecycle.
- Proficiency with data manipulation tools and model development frameworks.
- Prior experience in the financial sector, fintechs or payment companies, specifically dealing with credit risk.
- Knowledge of credit products for legal entities/business customers (desirable).
- Previous experience in fintechs, sub-acquirers or payment processors (desirable).
Benefits
- Health insurance;
- Dental insurance;
- Meal voucher or food allowance;
- Childcare assistance;
- Transportation allowance;
- Profit-sharing program (PPR);
- Day off during your birthday month;
- Life insurance;
- Wellhub;
- Férias&Co (travel benefit);
- Maternity leave of 6 months and paternity leave of 20 days;
- Flexible working hours;
- #Secuida - our Quality of Life Program;
- Partnerships with various establishments and institutions in education, health, leisure, entertainment, and more.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical modelingcredit scoringbilling/invoicing modelsexpected loss modelsdata manipulationmodel development frameworkspredictive featuresmodel accuracycredit modelingcredit risk