
201 - 500 employees
Founded 2005
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.
🔥 3 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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201 - 500 employees
Founded 2005
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.
• Calculate and monitor expected credit loss (ECL) provisions in accordance with IFRS 9 and CMN Resolution 4.966 • Develop, validate and maintain credit risk models (PD, LGD and EAD), ensuring accurate measurement of losses • Incorporate forward-looking macroeconomic scenarios into provisioning models, assessing impacts across different portfolio segments • Support the preparation of accounting and regulatory reports related to provisions, ensuring compliance with the Central Bank of Brazil (Bacen) requirements and external audit • Monitor regulatory and standards changes (IFRS, CMN, Bacen) and propose adjustments to models and credit policies • Prepare analyses and detailed reports for senior management focusing on the financial, regulatory and strategic impacts of credit provisions • Collaborate with Accounting, Controllership, Modeling and Risk teams to ensure methodological consistency and high quality of reported information
• Understanding of IFRS 9 (classification of financial instruments, stages 1, 2 and 3, impairment and expected credit loss provisioning) • Knowledge of CMN Resolution 4.966 and its application to credit risk measurement in financial institutions • Statistical and quantitative modeling techniques (PD, LGD, EAD) • Experience with analysis tools: R (mandatory), SQL, SAS, Python • Familiarity with accounting/regulatory reporting and model governance • Desired: basic knowledge of Basel III and the impact of provisions on regulatory capital
• Meal allowance and/or food voucher • Partnerships with educational institutions offering exclusive discounts on courses and educational programs • Opportunities for career growth within the company and participation in strategic projects • Opportunity to work at a rapidly expanding company in the market
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