Data Analyst, AML & Regulatory Compliance

Nubank

Ciudad de México

Presencial

MXN 800.000 - 1.200.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Equity
Health insurance
Dental & Vision Insurance
Work-from-home allowance
Learning platform

Descripción de la vacante

Nubank is seeking a data analytics professional to protect customer trust through regulatory analytics across LatAm markets, including Brazil and Mexico. You will transform complex regulatory data into dashboards, insights, and hypotheses to guide KYC, Enhanced Due Diligence, and Judicial Orders analytics while ensuring compliance and scalability.

You will turn data into clear, actionable insights, collaborate with stakeholders, and own end-to-end projects from data sources to delivery,

Formación

  • Experience building dashboards and analytics visualizations.
  • Strong SQL skills for complex problem solving.
  • Programming experience in Python, Scala, or similar.

Responsabilidades

  • Build dashboards and visualizations to surface trends in regulatory indicators.
  • Identify and correlate data sources to test hypotheses.
  • Write optimized SQL queries for large datasets.
  • Apply Python/Scala to build scalable analytical solutions.
  • Lead root cause analysis and derive actionable insights.
  • Define processes to keep KYC/EDD/Judicial Orders compliant.

Conocimientos

Dashboards
SQL
Python/Scala
Data Modeling
KPIs/OKRs
Communication

Educación

Finance/Math/SE/Statistics degree

Herramientas

QuickSight
BigQuery

Descripción del empleo

About Nu

Nu is the leading digital bank in Latin America, 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.

Visit our Institutional Page

About the Role

As part of Nu's Regulatory Solutions team, you'll help protect the trust millions of customers place in us every day. Your work on KYC, Enhanced Due Diligence, and Judicial Orders analytics keeps our growth sustainable and our compliance airtight across Brazil, Mexico, and beyond.

You'll turn complex regulatory data into dashboards, hypotheses, and insights that guide how Nu meets its legal and customer obligations. Every trend you catch and every root cause you uncover helps us stay diligent, flexible, and resilient — the way Nu was built to be.

This is a role for someone who finds meaning in the details: turning ambiguous regulatory questions into clear, data-backed answers that shape how we serve our customers responsibly.

You’ll be responsible for
  • Build dashboards and visualizations that surface trends and deviations in KYC, EDD, and Judicial Orders indicators over time
  • Identify and correlate relevant data sources (QuickSight, BigQuery, SQL) to formulate and test hypotheses about regulatory operations
  • Write optimized SQL queries to solve complex data problems across large transactional datasets
  • Apply Python, Scala, or similar languages to build repeatable, scalable analytical solutions
  • Lead root cause analysis independently, generating actionable insights without close guidance
  • Define processes that keep KYC, Registration, and Judicial Orders operations compliant with business, legal, and customer needs across Brazil, Mexico, and other LatAm markets
  • Guide the team tactically, aligning daily execution with the BU’s strategic priorities and OKRs
  • Manage low- to medium-complexity projects end to end, delegating tasks and communicating progress to stakeholders
We are looking for a person who has
Required
  • Experience building dashboards and analytical visualizations using tools like QuickSight, BigQuery, or similar
  • Strong SQL skills, with experience solving complex problems in an optimized way
  • Programming experience in Python, Scala, or another general-purpose language
  • Familiarity with database modeling and architecture (Data Mart, Data Lake, Data Warehouse)
  • Experience conducting root cause analysis and translating findings into recommendations
  • Ability to abstract business concepts into quantitative metrics (KPIs, OKRs)
  • Clear, concise communication skills, with the ability to manage multiple stakeholders
Nice to have
  • Background in KYC, AML, or regulatory/compliance analytics, ideally across Brazil, Mexico, or other LatAm markets
  • Degree in Finance, Mathematics, Software Engineering, Statistics, or a related field, with quantitative or statistical modeling experience
  • Fluency in English and Spanish, written and verbal
  • Curiosity about AI, Machine Learning, and Data Science
Location for this opportunity

Mexico City, Mexico

Our Benefits
  • Chance of earning equity at Nu
  • Extended maternity and paternity leaves
  • Health and life insurance
  • Dental and Vision Insurance
  • NuCare - Our mental health and wellness assistance program
  • Nucleo - Our learning platform of courses
  • NuLanguage - Our language learning program
  • Holiday Bonus ("Aguinaldo") of 30 days of pay per year
  • 17 days of paid vacation with 25% vacation bonus
  • Gym partnership
  • Food card
  • Work-from-home Allowance
  • Parental Consultancy
  • Relocation Assistance Package, if applicable
Work Model for this Role

This role is based full-time, on-site, at our Mexico City office.

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Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

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