Lead Product Designer - Lending

Nubank · São Paulo, Brazil | Campinas | Rio de Janeiro · Brazil

Lead Product Designer - Lending lead · Technology / Software Development

Vista previa de la oferta

Lead Product Designer - Lending

lead · Technology / Software Development

About Nu

Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.

Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.

Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.

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About the Role

As a team who drives product development from ideation to full rollout, the Design team ensures that our product experiences are valuable to our users. Designers at Nubank must deal with complex problems and transform them into intuitive, accessible and easy-to-use experiences for millions of people.

You'd be joining the Payroll INSS Squad, responsible for delivering a simple, humanized and complete borrowing experience for Mass Market INSS retirees and pensioners who need to borrow money to make ends meet and reach their goals. We're looking for a designer who is passionate about this specific customer segment and about making an old, regulated, and complex product feel easy to use and humane.


You’ll be Responsible for

 

What We're Looking For Someone Who Has

Location

São Paulo, SP or Campinas, SP or Rio de Janeiro, RJ.

Work model

Hybrid

Office requirement

2 days per week at the office.

 

Our Benefits

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

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