About Nubank

Tackling the complex banking system to empower people in one of the most bureaucratic markets in the world seems like a crazy idea, right? But that's why, how, and where Nubank was born. We fight complexity through our transparent and straightforward products and experiences: a no-fee credit card, a rewards program, a lending platform, and a digital savings account. In a nutshell, we are the most innovative tech company in Latin America, and we are obsessed with building financial services and products that make our customers love us fanatically. With over 30 million customers and $820 million raised in investment rounds, we are the fastest growing digital bank in the world, with offices in Brazil, Colombia, Germany, Mexico, and Argentina. And it's still only Day One for us!

 Data Science at Nubank

 

At Nubank we aim to empower our customers to take control of their financial lives. The Data Science team develops models and leverages its expertise to provide the best experience and products, using statistics, Artificial Intelligence and lots of creativity to predict our customers' behaviors. Our team strives for cutting edge model development techniques, from Machine Learning to Reinforcement Learning and beyond. We're partnering with business and technology to make speed of thought decisions possible.

The values that guide us in Data Science:

  • Diverse ensembles don't overfit;
  • We reinforce each other's learning;
  • Mind the person behind the data point;
  • We share the same objective function;
  • We trust our confidence interval;
  • Pursue the global maxima.

The position

This is a senior individual contributor role that will require tech leadership experience.

Once here, you will:

  • Productionalize and scale the initial version of the most important machine learning models for Nu Mexico across credit risk & fraud that will directly result in business outcomes;
  • Bring expertise to the team to help design and prioritize projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.);
  • Translate complex business challenges into specific and well designed machine learning solutions that meet business requirements;
  • Provide technical guidance for more junior team members;
  • Ensure the team maintains a high level of technical excellence;
  • Look and implement improvements in the way we work and organize.

Things that will help you thrive in this role:

  • Strong coding skills Python/Scala or equivalent languages;
  • Understanding of engineering challenges in a production environment;
  • Good understanding of a model development and deployment pipeline;
  • Experience with machine learning tools and libraries such as Scikit-learn, Mllib, TensorFlow;
  • Nice data handling skills, SQL proficiency is a plus;
  • English language proficiency

Benefits 

  • Health and life insurance
  • Vacations of 15 workdays
  • Yearly performance-based bonus in Restricted Stock Units
  • NuLanguage - Our language learning program
  • Extended maternity and paternity leaves  
  • Physical location amenities
  • Food card

Diversity and Inclusion

We want to have a product for everyone, and we build strong and diverse teams that rise to the challenge. We are a team of the most creative people in technology, and we hire under equal opportunity, irrespective of gender, ethnicity, religion, sexual orientation, or background. We are proud to say that 30% of Nubanker recognize themselves as part of the LGBTQ+ community, and 40% of our team comprises women in all positions and seniority levels. We are a very process-light organization that values human interactions, and that is an essential part of our culture. At Nubank, everyone has the opportunity to speak up and participate, grow, and share ideas.

 

Nubank continues to hire for all open roles, all interviewing and onboarding are done virtually due to COVID-19. Everyone new to the team and our current staff will temporarily work from home until it is safe to return to our offices.

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