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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Our Finance Data Team

Our purpose is to scale Nubank’s financial infrastructure by blending deep product knowledge with cutting-edge data engineering. We sit at the intersection of Finance and Technology, ensuring our regulatory obligations are met with precision while proactively building the "Finance of the Future." Our goal is to eliminate manual toil through automation and leverage AI to make financial insights instantaneous and actionable.

You will be responsible for

• Regulatory Reporting: Lead the end-to-end delivery of complex regulatory reports, ensuring total accuracy and compliance with local central bank and financial authority requirements.

• Data Pipeline Engineering: Design, build, and maintain scalable data pipelines that transform raw product data into high-integrity financial datasets.

• Process Automation: Identify manual bottlenecks within Finance and develop automated workflows to increase speed and reduce operational risk.

• Product Deep-Dives: Develop a profound understanding of our financial products (Credit Cards, Accounts, Loans) to ensure data reflects the true economic reality of the business.

• AI Implementation: Explore and implement AI solutions to optimize financial reconciliation, anomaly detection, and report generation.

• Stakeholder Collaboration: Partner with Engineering, Product, and Risk teams to map data sources and ensure financial data integrity across the entire ecosystem.

We are looking for a person who has

• Analytical Power: Strong skills in translating complex financial data into clear business insights.

• Technical Stack: Proficiency in SQL, Python, and/or Scala. Experience with data orchestration tools and visualization platforms.

• Product Knowledge: A strong understanding of financial products, banking operations, and how they flow into financial statements.

• Regulatory Experience: Familiarity with financial regulations and the rigor required for statutory reporting is a plus.

• Automation Mindset: Proven experience in automating repetitive tasks and a passion for using AI tools to drive efficiency.

• Communication: Excellent ability to bridge the gap between technical engineering teams and non-technical finance stakeholders.

• Language: Advanced English; Spanish is a beneficial addition.
  
  Benefits

• Chance of earning equity at Nubank

• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)

• Public Transportation Commuting Benefit (Vale-Transporte)

• NuCare – Psychological, Financial and Legal Assistance Program

• Life Insurance

• Medical Plan

• Dental Plan

• NuLanguage – Language Course Program

• Nucleo - Our learning platform of courses

• Extended Parental Leave

• Daycare Allowance

• Parental Consultancy

• Work-from-home Allowance

• Gym Partnerships

• 30 days of paid vacation

• Relocation Assistance Package, if applicable

Work Model for this Role

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 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.