Finance Data Analyst

Nubank; São Paulo; Presencial; BRL 167 400 - 279 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Chance of earning equity at Nubank

Food/Meal Card

Public Transportation Commuting Benefit

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

Resumo da oferta

Nubank is seeking a skilled professional in São Paulo to lead regulatory reporting and build scalable data pipelines. The candidate will develop a deep understanding of financial products while exploring AI solutions to optimize processes.

Ideal candidates will have strong analytical skills and proficiency in SQL, Python, and/or Scala. The role is hybrid, allowing for flexibility while ensuring collaboration.

Qualificações

• Strong skills in translating complex financial data into clear business insights.
• Familiarity with financial regulations and the rigor required for statutory reporting.
• Experience in automating repetitive tasks and a passion for using AI tools.

Responsabilidades

• Lead the end‑to‑end delivery of complex regulatory reports.
• Design, build, and maintain scalable data pipelines.
• Identify manual bottlenecks within Finance and develop automated workflows.
• Develop a profound understanding of our financial products.
• Explore and implement AI solutions for efficiency.
• Partner with teams to ensure financial data integrity.

Conhecimentos

Analytical Power

Proficiency in SQL

Python

Scala

Language skills (English, Spanish)

Descrição da oferta de emprego

About Nu

Nu is one of the largest digital financial services platforms in the world, 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.

About Us

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.

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.

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.

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.