Senior Machine Learning Engineer Manager

About Nu

Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

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About the Role

You will lead the models and credit policy behind Nu’s new credit limit product in Brazil, Mexico and Colombia. It is in its growth stage, with a pilot already live in Brazil. You will turn that pilot into a multi-country program and decide which models to build and how credit decisions affect long-term value and customers. You will join the Credit Card division, which drives most of Nu’s profit and growth, and work with high autonomy in a fast-paced global team.

You’ll be Responsible for

• Own the program end-to-end: design, launch, measurement, iteration and scale.

• Deliver the models and credit policy to expand the Brazil pilot next year.

• Adapt and scale the approach to other pilots

• Define which models to build and how to model credit risk and returns, maximizing long-term financial value and customer impact.

• Partner with design, product, engineering and marketing teams in each country.

• Lead and develop the team

• Contribute hands-on to modeling work when the team needs it

We're Looking For Someone Who Has

Required

• Experience managing teams and supporting individual growth

• Experience taking a product or program from zero to launch.

• Experience building and deploying predictive models, including the data infrastructure and testing (such as experiments or A/B tests) around them.

• Experience working with multiple stakeholders.

• Comfortable getting hands-on with the team

Nice to Have

• Credit experience, such as risk models or credit policy.

• Experience managing cross-country programs, navigating different markets and teams

• Experience with a product in its growth stage.

Location

• Miami, United States

• Washington DC, United States
  

Work model

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Our Benefits

• Total compensation includes base salary, RSUs and benefits. Base salary range: $258k - $387k. Location-Specific Disclosures

  • Opportunity of earning equity at Nu
  • Medical Insurance
  • Dental and Vision Insurance
  • Life Insurance and AD&D
  • Extended maternity and paternity leaves
  • Nucleo - Our learning platform of courses
  • NuLanguage - Our language learning program
  • NuCare - Our mental health and wellness assistance program
  • 401K Saving Plans - Health Saving Account and Flexible Spending Account
  • Work-from-home Allowance
  • Relocation Assistance Package, if applicable

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.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here