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Model Risk Specialist Brazil, Belo Horizonte; Brazil, Campinas; Brazil, Rio de Janeiro; Brazil,[...]
Há 1 mês
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. About The Team At Nubank we heavily rely on data, machine learning and other quantitative models and techniques to drive our strategy and provide the best experience and products to our customers. The position holder will be part of the Model Risk team, within the Risk Management structure at Nubank. The Model Risk team is the second line of defense for our models. Our mission is to ensure Nubank relies on world‑class solutions that will lead to optimal and sustainable decisions. We act by providing independent review & challenge to models, staying tuned to cutting‑edge techniques, along with business, customers and regulatory needs. We also work to identify and control risks related to our models, as well as in the definition and implementation of feedback loops to constantly improve them. About The Role This is a senior individual contributor position, in which you will: Conduct independent reviews of quantitative models based on various financial, statistical and machine learning techniques, identifying and validating model's uses, hypothesis, data, methodologies and compliance with regulatory requirements. Provide effective challenges, identify risks and enhancement opportunities, and engage with other analysts to strengthen our decision‑making tools. Develop playbooks and toolkits (Python, Scala, LLM, etc.) to optimize model reviews, ongoing models monitoring, and assess the impact of models in decisions. Contribute to the consolidation of Nubank's Model Risk Management and Model Review frameworks with autonomy and creativity. Discuss and report model risk status and independent opinions on models with different stakeholders, including senior managers and regulators. Be exposed to different types of decisions and processes (e.g. credit, fraud, operations and in different countries). Ensure the team maintains a high level of technical excellence. Work in a multicultural, diverse and highly skilled environment. Basic Qualifications Experience developing or validating quantitative and/or machine learning models used to leverage important decision‑making processes or to solve relevant academic problems. Interest in reviewing complex machine learning and other types of models to identify risks and propose enhancements. Data Science skills, strong knowledge on machine learning tools and techniques. Proactive, autonomous and ability to learn fast, with strong analytical and problem‑solving skills, motivated by challenges. Organized and detail‑oriented, without losing track of the big picture. Good communication and interpersonal skills, with the ability to influence and effectively discuss complex topics with both technical and non‑technical stakeholders. Preferred Qualification Academic or professional experience in statistical and mathematical model application and/or validation. Experience in credit risk management and/or other risk management frameworks. Master degree or relevant undergraduate scientific project. Financial or risk certificate (FRM or CFA). Previous experience with programming languages and tools (Python, SQL, Scala, Databricks, Github, Cursor). Chance of earning equity at Nubank Public Transportation Commuting Benefit (Vale‑Transporte) NuCare – Psychological, Financial and Legal Assistance Program Life Insurance Medical Plan NuLanguage – Language Course Program Nucleo – Our learning platform of courses Extended Parental Leave Daycare Allowance Parental Consultancy Work‑from‑home Allowance 30 days of paid vacation Our Nu Way of Working Our work model is hybrid and has cycles that can be from two to three months according to the business of expertise. For every eight or twelve weeks of remote work, one will be at the office. Diversity & Inclusion At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent. #J-18808-Ljbffr
