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. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world.


Today, Nubank is 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 cofounded by Brazilian Cristina Junqueira and American Edward Wible. For more information, visit www.nubank.com.br.


Typical responsibilities assigned to you might include

  • Manipulating data to extract valuable information of them
  • Improving coding skills to build and automate risk models and reports
  • Challenging his/her analytical capabilities - Planning deliverables with his/hers colleagues
  • Interacting with business analysts, financial analysts and data scientists (both from MX and BR BUs)
  • Discussing similarities and differences between MX and other countries credit market and economies

How We Work

  • Propose and monitor KPIs in order to explain changes in MX portfolio credit risk
  • Review and challenge credit policies defined by first line
  • Engage with Business Units, building an effective relationship to oversee and support new credit decisions, ensuring high standards and good practices in the assessments
  • Set up a report procedure to guarantee an efficient communication regarding Mx portfolio credit risk to enable Nubank’s sustainable growth
  • Review and monitor credit risk appetite
  • Share knowledge about MX credit market and regulations with other stakeholders


  • 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
  • Knowledge in Credit Risk Models/Policies (Valuation/Risk-Returns), Collections Policies, KPIs, ERM Requirements, and International standards (such as Basel II, Basel III, IFRS9)
  • Manage Credit Risk either working in the first line or second line of defense, or even implementing credit risk related projects
  • Great toolbox of modeling or Machine Learning technics, good coding skills (SQL, Python, Scala or other similar programming languages will be considered an advantage)
  • Advanced or Fluent English is necessary


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