Finance Data Specialist

p strong About Us /strong /p p Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. /p p Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. /p p Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page nbsp; a href= https://international.nubank.com.br/careers/ https://international.nubank.com.br/careers/ /a nbsp; br br strong Our Finance Data Team /strong /p p 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. /p p strong You will be responsible for /strong /p ul li strong Regulatory Reporting: /strong Lead end-to-end delivery of complex regulatory reports, independently interpreting regulatory requirements, guiding compliance alignment across teams, and preparing for audit processes with high precision. /li li strong Data Pipeline Engineering: /strong Design, build, and maintain scalable data pipelines that transform raw product data into high-integrity financial datasets, diagnosing complex data anomalies and proposing tailored improvements. /li li strong Process Automation amp; AI Implementation: /strong Independently build or guide the team in building AI and low-code/no-code automations. Evaluate AI initiatives based on return, effort, and risk, and make high-stakes decisions on AI appropriateness and safe usage patterns. /li li strong Product Deep-Dives: /strong Develop a profound understanding of our financial products (Credit Cards, Accounts, Loans) to ensure data reflects the true economic reality of the business, contributing inputs to long-term platform strategy. /li li strong Cross-functional Leadership: /strong Lead projects with defined scope and clear objectives. Contribute to cross-functional discussions, influence direction within the team, and provide guidance and support to more junior members. /li li strong Stakeholder Collaboration: /strong Independently manage discussions with a range of stakeholders across Engineering, Product, Risk, and Finance — bringing new ideas and driving the team toward innovative and efficient solutions. /li /ul p strong We are looking for a person who has /strong /p ul li strong Financial Expertise: /strong Experienced level in financial analysis, accounting, compliance, and controls. /li li strong Technical Stack: /strong Proficiency in SQL, Python, and/or Scala. Experienced in data analysis, visualization, and building insightful dashboards tailored to different stakeholder needs. Familiarity with data orchestration tools. /li li strong Problem Solving: /strong Ability to analyze expanded and sometimes ambiguous problems with autonomy, uncover root causes, independently evaluate trade-offs, and develop effective solutions for moderately complex scenarios. /li li strong AI Fluency: /strong Ability to independently select appropriate tools or AI models for complex tasks, mentor peers in effective usage, and systematically evaluate AI initiatives while ensuring safe and compliant practices. /li li strong Automation Mindset: /strong Proven experience identifying manual bottlenecks and building automated workflows. Able to lead automation initiatives and delegate im