Analista Pleno em Risco de Crédito no Banco Cooperativo Sicredi, atuando em análises quantitativas de risco e provisão.
Responsibilities
Conduct portfolio projection, provisioning and risk indicator routines, ensuring consistency with official datasets and approved assumptions;
Design and perform sensitivity and scenario analyses (base/stressed/mitigated), translating impacts into provisioning and financial results;
Develop and maintain projection and simulation models and artifacts (e.g., ECL, migration, vintage, delinquency/stage transitions, portfolio behavior);
Support the bank's budgeting cycle and inputs for cooperatives/central entities, aligning risk assumptions with financial projections;
Plan and operationalize stress testing exercises (scenarios and simulations), in coordination with RAS/ICAAP teams and internal governance;
Advance segmentation/cluster analyses and underlying datasets, supporting profiling of cooperatives and targeted action plans;
Produce executive materials and analyses for committees and management meetings (previews, closings, management reports), with clear and actionable narratives;
Ensure technical governance of figures (reproducibility, traceability, documentation, version control and controls);
Serve as the team's quantitative reference, supporting peers in methodological discussions, data quality and continuous process improvement;
Interact with partner areas (modeling, credit, product, finance, central/cooperatives) to align assumptions, interpret results and propose courses of action.
Requirements
Bachelor's degree in Statistics, Economics, Engineering, Mathematics, Data Science, Computer Science or related fields;
Practical experience in quantitative analyses applied to credit/risk/finance (modeling, projections, simulations, sensitivity analysis);
Proficiency with analytical tools (minimum: SQL and/or Python/R, plus advanced Excel; ability to automate routines);
Ability to structure end-to-end analyses: define assumptions, process data, model, validate and communicate results;
Organizational rigor when working with official figures: version control, traceability and documentation;
Clear communication skills to translate complex analyses into concise messages for non-technical audiences.
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