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Senior Credit Data Analyst

Job not on LinkedIn

🕒 October 6

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Power Data Tecnologia Analitica's careers page, not through a job board

First seen by Remote Rocketship October 6

Still open on Power Data Tecnologia Analitica's site. Checked 2 days ago.

Logo of Power Data Tecnologia Analitica

Power Data Tecnologia Analitica

- employees

🤝 B2B

💳 Fintech

🏢 Enterprise

B2B • Fintech • Enterprise

Power Data Tecnologia Analitica is a Brazilian analytics and infrastructure company that develops B2B analytical solutions, frontend interfaces, and financial infrastructure. Their work includes building React-based UIs and pixel-perfect responsive interfaces for analytical dashboards, remote audit panels, and institutional landing pages; developing backend fintech components such as Banking-as-a-Service integration APIs, escrow account orchestration, and a Split-Payment Ledger for automated settlement and reconciliation; and designing mission-critical cloud and DevOps architectures (OCI/AWS/GCP, Kubernetes, Kafka/RabbitMQ) with strong data security and sovereignty controls for governments, certification bodies, industries, and banks.

📋 Description

• Design, test, and refine credit policies (underwriting, credit limits, and cutoff rules), measuring the impact of each change on approval rates, risk, and business results • Build and maintain tracking for credit KPIs, including approval rate, vintage delinquency, FPD, over 30/60/90, roll rate, and loss • Investigate KPI deviations, identify root causes, and present clear recommendations to the business team • Monitor the performance of models and scores used in credit policy (KS, Gini, PSI) and identify when recalibration is needed • Structure A/B tests and champion/challenger testing for credit policies • Present analyses to managers and business teams, translating numbers into actionable decisions • Serve as a technical reference for junior analysts by reviewing code and analyses

🎯 Requirements

• Solid experience—typically 5 or more years—in credit data analysis within banking, fintech, retail, or telecommunications • Practical experience with credit policy, including proposing, implementing, and monitoring policy changes • Strong command of key credit risk indicators and vintage analysis • Advanced SQL and Python for data analysis (pandas, NumPy) • SAS • Strong statistical foundation • Ability to explain complex analyses clearly to non-technical audiences

🏖️ Benefits

• Cost-of-living allowance • Health insurance • Dental insurance • Meal voucher • Home office allowance • Gympass

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