
Analytics Engineer Specialist
1 semana atrás
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.
We are looking for ahands-on Analytics Engineer Specialistto join ourOperational Risk team. This role is central to shaping and scaling ourOperational Risk Database (BDRO)globally, while driving innovation inquantitative non-financial risk management.
If you have a strong background indata engineering, analytics, and stakeholder leadership—and are passionate about using data to transform risk strategies—this role is for you. You'll help build arobust risk culturethat not only ensures regulatory compliance but also leveragescutting-edge practicesto fuel sustainable growth.
Your mission: deliver aregulatory-compliant BDROthat evolves into aglobal 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 thedesign, development, and global rolloutof the Operational Risk Database, ensuring alignment with regulatory and internal frameworks.
- Assess and enhanceBDRO architecture, ensuring scalability and compliance.
- Translate complex data models intoclear, structured datasetsthat meet regulatory standards.
- Design and implementdata quality controlsand governance mechanisms.
- Integrate multiple data sources to createkey indicators and risk models.
- Providetechnical leadership and mentoringto junior team members.
- Championtechnical excellence and best practiceswithin the team.
- Strong foundation inanalytics engineering, data modeling, and advanced analysis techniques.
- Experience withBig Dataand large-scale distributed systems.
- Proficiency inPython, Scala, or similar languages.
- Solid understanding ofdeployment pipelinesand CI/CD.
- Hands-on experience withdata 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
- 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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