Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
About Nubank
Nu, one of the largest digital financial platforms globally, serves over 122 million customers across Brazil, Mexico, and Colombia. Our mission is to fight complexity and empower people, redefining financial services in Latin America. We are publicly listed on the New York Stock Exchange (NYSE: NU) and leverage proprietary technology, data intelligence, and an efficient operating model to deliver simple, accessible, and human financial products. Our impact is recognized by global rankings like Time 100 Companies and Forbes World’s Best Bank.
Our Finance Data Team
Our team's purpose is to scale Nubank’s financial infrastructure by blending deep product knowledge with cutting-edge data engineering. We operate at the intersection of Finance and Technology, ensuring precise regulatory compliance while proactively building the "Finance of the Future." We aim to eliminate manual tasks through automation and leverage AI to deliver instantaneous and actionable financial insights.
About the Finance Data Analyst Role
- 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.
What We're Looking For
- 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.
Perks & 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
This role follows a Hybrid 2-3 times/week work model, designed to maximize team connection and collaboration in the office.
Key skills/competency
- Data Analysis
- Regulatory Reporting
- Data Pipeline Design
- Process Automation
- Financial Product Knowledge
- SQL
- Python
- Scala
- AI Implementation
- Stakeholder Management
How to Get Hired at Nubank
- Research Nubank's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Customize your resume for finance data: Highlight your expertise in regulatory reporting, data pipeline engineering, and financial product analysis using keywords from the Finance Data Analyst job description.
- Showcase automation and AI skills: Provide specific examples of how you've automated financial processes or implemented AI solutions in previous roles.
- Prepare for technical assessments: Sharpen your SQL, Python, and Scala skills, and be ready to discuss data orchestration and visualization platforms relevant to Nubank's tech stack.
- Practice behavioral interviews: Be ready to articulate your stakeholder collaboration skills, analytical power, and problem-solving approach with concrete examples.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background