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sql python machine learning ifrs 9 bacen📋 Description
- Design, implement, and maintain BACEN/IFRS 9 compliant credit risk models.
- Monitor retail credit exposures from origination to portfolio performance.
- Develop and validate ML/AI models for PD, LGD, EAD, and behavior scoring.
- Build AI agents to automate risk monitoring, provisioning, and reporting.
- Collaborate with Credit Policy to set limits and credit appetite aligned with RAS.
- Perform stress testing, scenario analysis, and model backtesting.
🎯 Requirements
- BACEN regs: Res. BCB 265/2022, CMN 4.557/2017, CMN 2.682/1999, Circular 3.978/2020.
- Retail credit lifecycle: origination, scoring, collection, recovery.
- IFRS 9 ECL modeling (Stages 1–3) and provisioning.
- ML/AI credit risk model development and validation.
- Python, SQL, and/or R/SAS for modeling and stress testing.
- ICAAP and capital adequacy processes.
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