Senior Model Risk Analyst

4 semanas atrás


São Paulo, São Paulo, Brasil Nubank Tempo inteiro

About the Role

Nubank is seeking a highly skilled Senior Model Risk Analyst to join our Model Risk team. As a key member of this team, you will be responsible for providing effective challenges, identifying risks, and enhancement opportunities, and engaging with other Data Scientists and Business Analysts to strengthen our decision-making tools.

Key Responsibilities

  • Discuss and report model risk status and independent opinions on models with different stakeholders, including senior managers and regulators.
  • Contribute to the consolidation of and improve Nubank's Model Risk Management and Model Review frameworks with autonomy and creativity.
  • Be exposed to different types of decisions and processes (e.g. credit, fraud, operations and in different countries).
  • Conduct independent reviews of quantitative models based on statistical, machine learning, and AI techniques, with a stronger focus on credit models.
  • Develop playbooks and toolkits (Python, Scala, SQL, etc.) to optimize model reviews, ongoing models monitoring, and assess the impact of models in decisions.
  • Ensure the team maintains a high level of technical excellence.

Requirements

  • Great communication skills: clear, concise, and structured.
  • Problem-solving skills: Strong analytical and problem-solving abilities are essential for identifying risk factors and implementing effective risk management strategies.
  • Experience developing or validating 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.
  • Ability to work autonomously and demonstrate a sense of prioritization.
  • Data Science skills, strong knowledge of machine learning tools and techniques.
  • Strong programming skills, desirable previous experience with Python, SQL, GitHub.
  • Ability to learn fast, strong analytical and problem-solving skills.
  • Stakeholder management and influencing skills across levels.
  • Organized and detail-oriented, without losing track of the big picture.
  • Advanced English skills.

Preferred Qualifications

  • Previous experience in credit risk management and/or other risk management frameworks would be a plus.
  • Master's degree or relevant undergraduate scientific project would be a plus.
  • Previous knowledge of expected loss provisions modeling would be a plus.

About Nubank

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America.

We are a global company, with offices in São Paulo (Brazil), Mexico City (Mexico), Buenos Aires (Argentina), Bogotá (Colombia), Durham (United States), and Berlin (Germany). It was founded in 2013 in Sao Paulo, by Colombian David Vélez, and co-founded by Brazilian Cristina Junqueira and American Edward Wible. For more information, visit our website.

About the Team

At Nubank, we heavily rely on data, machine learning, and other quantitative models & 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 and customer 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.



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