Analytics Engineer Specialist
1 semana atrás
About Us
Nu is the world's largest digital banking platform outside of Asia, serving over 118 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 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Banks.
Learn more: Careers at Nu - Join our team
About the Role
We are looking for a hands-on Analytics Engineer Specialist to join our Operational Risk team. This role is central to shaping and scaling our Operational Risk Database (BDRO) globally, while driving innovation in quantitative non-financial risk management.
If you have a strong background in data engineering, analytics, and stakeholder leadership—and are passionate about using data to transform risk strategies—this role is for you. You'll help build a robust risk culture that not only ensures regulatory compliance but also leverages cutting-edge practices to fuel sustainable growth.
Your mission: deliver a regulatory-compliant BDRO that evolves into a global risk data platform. You'll lead on architecture, dataset design, controls, indicators, and models that enable smarter, data-driven decision-making across risk teams worldwide.
You`ll be responsible for
- Lead the design, development, and global rollout of the Operational Risk Database, ensuring alignment with regulatory and internal frameworks.
- Assess and enhance BDRO architecture, ensuring scalability and compliance.
- Translate complex data models into clear, structured datasets that meet regulatory standards.
- Design and implement data quality controls and governance mechanisms.
- Integrate multiple data sources to create key indicators and risk models.
- Provide technical leadership and mentoring to junior team members.
- Champion technical excellence and best practices within the team.
- Strong foundation in analytics engineering, data modeling, and advanced analysis techniques.
- Experience with Big Data and large-scale distributed systems.
- Proficiency in Python, Scala, or similar languages.
- Solid understanding of deployment pipelines and CI/CD.
- Hands-on experience with data platforms and tools (e.g., Databricks, AWS, Soda).
- A solid grasp of risk management principles and the skill to turn complex analysis into clear, actionable strategies is a plus.
Chance of earning equity at Nubank
Extended maternity and paternity leaves
Child care allowance
Health and life insurance
NuCare - Our mental health and wellness assistance program
Nucleo - Our learning platform of courses
NuLanguage - Our language learning program
Gym partnership
- Parental Programs
Our work model is hybrid and has cycles that can be from two to three months according to the business of expertise. For every eight or two weeks of remote work, one will be at the office.
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