Retail Credit Risk Specialist Brazil, Belo Horizonte; Brazil, Campinas; Brazil, Rio de Janeiro;[...]

About Us Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page About the team The Credit Risk Squad is part of the 2nd line of Defense, responsible for managing and overseeing the credit risk function of our organization by providing independent oversight and challenge to the first line of defense. As a second line Credit Risk team, we are responsible for creating Expected Credit Losses (ECL) models that are used to calculate loss allowances, making sure the company’s credit risk is managed correctly and efficiently, participating end‑to‑end in the model development process, including, implementation, monitoring, ensuring operational quality of the data and supporting Finance accounting teams. About the Role As a Credit Risk Specialist within our Credit Risk Squad (part of the 2nd Line of Defense), you will play a crucial role in supporting Nubank’s world class risk management framework. Your primary focus will be on expected credit loss models development and maintenance, particularly within the retail market portfolios, including credit cards and personal loans. You will contribute significantly to ensuring the company’s credit risk is managed effectively, with a strong emphasis on the universe of credit provisions. Your key responsibilities will include Developing, implementing, analysing and monitoring risk parameter models (PD, LGD, EAD) relevant to our retail portfolios, ensuring they align with regulations like IFRS9 and 4966. You will be instrumental in making sure we have state of the art models also through activities such as backtesting, data analysis, documentation and operational monitoring. Maintaining a strong understanding of relevant local and international regulations concerning provisions and credit risk management, including a surface-level understanding of standards like Bacen 4966 and IFRS9. Performing in‑depth analysis of credit risk exposure and its implications for expected credit losses (ECL) and loss allowances. This will involve understanding how changes in the credit portfolio impact our provisions. Participating in monthly accounting closing activities, contributing to the creation of reports on loss allowance movements. Actively contributing to the enhancement of our controls environment within credit risk management. This is crucial for ensuring compliance with regulations such as SOX. Liaising with Internal and External Audit teams during model validation processes, ensuring adherence to regulatory requirements and SOX compliance in our operational processes. Leveraging your analytical and problem‑solving skills to manipulate and learn from data related to the credit portfolio. This role requires a strong analytical background, a keen understanding of credit risk principles, and the ability to contribute to a robust and compliant credit risk management framework. Your work will directly impact the accuracy of our financial reporting and the overall stability of our credit operations. Bachelor’s degree in Engineering, Economics, Math, Statistics, Physics or related fields. Analytical, problem solving and passionate to manipulate data in order to learn from it. Great coding skills (SQL, Python, Scala or other similar programming languages). Experience in developing or analysing outputs of Expected Credit Loss models/PD/EAD/LGD for credit provisioning purposes. Adaptability to dynamic way of working/short term deliverables. Preferred qualifications Advanced or Fluent English. Experience with SOX controls within risk management environment. #J-18808-Ljbffr