Mercado Libre

Machine Learning Models Specialist for Credit Risk - Fintech

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About the opportunity

At Mercado Livre, we are democratizing commerce, money, and payments in Latin America.

Our Fintech business offers a comprehensive value proposition on a regional scale, aiming to democratize financial services and meet the needs of the more than 60 million people who use our solutions. We provide an online platform that allows charging for e-commerce sales made both within and outside of Mercado Livre, and a system of QR codes and Point devices to charge for sales made in the physical world. Thus, we give millions of merchants, entrepreneurs, and professionals the opportunity to process their operations securely, through more than 50 payment methods in Latin America. We also grant free access to a digital account, which allows paying, sending, and receiving money, generating income, and operating with cards for purchases or withdrawals. Through Mercado Crédito, we offer loans to meet the needs of people who use our services and to help boost the business of those who sell through our platform.

We have a challenge for those who:

  1. Thrive on entrepreneurial energy: driven by curiosity, they never give up and focus on overcoming their own limits.
  1. Give their best because they enjoy working with commitment and dedication.
  1. See changes as opportunities and learn from their mistakes.
  1. Excellence and execution are fundamental in their way of doing things.
  1. Promote a good environment, bringing joy and fun.
  1. Know how to build with others and enjoy working in a team.

Imagine yourself carrying out challenging, dynamic, and innovative projects, and being responsible for:

  1. Developing, validating, and monitoring Machine Learning models focused on credit risk management.
  1. Managing relationships with multiple internal and external stakeholders (suppliers) at a regional and local level, both technically and in business.
  1. Designing analytical solutions that facilitate strategic decision-making in the business.
  1. Promoting data-driven management and improving the effectiveness of credit policies.

Requirements

  1. Be a professional in Economics, Actuarial Science, Engineering, or related fields.
  1. Have developed experience in similar positions.
  1. Have knowledge in data science, building machine learning models (preferably risk-related).

We offer you

  • Being part of a company with an entrepreneurial spirit, where we love to think big and long-term.
  • Being the protagonist of your development in an environment of opportunities, learning, growth, expansion, and challenging projects.
  • Sharing and learning in a team alongside great professionals and experts.
  • An excellent work environment, with everything you need to have a great experience. :)

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