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Data Analyst - AML

Brazil, Sao Paulo

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. Visit our institutional page https://international.nubank.com.br/careers/  

About the Position - Main Responsibilities:

  • Improve, oversee, and sustain expert rule systems designed for anti-money laundering alerts, prioritizing both AML risk mitigation and efficiency performance.
  • Develop expertise in AML and data analysis to identify and address challenges and opportunities within the AML program, utilizing analytics and automation tools.
  • Enable the company to make pro-business and customer-centric decisions while remaining protected and compliant through transaction monitoring hypothesis testing.
  • Tune thresholds for monitoring rules.
  • Proficiency in working with Big Data and scalable solutions.
  • Review data quality to ensure reports and analyses are meaningful and accurate. 
  • Produce and maintain proper documentation of projects and processes.
  • Prepare data storytelling and visualization using key performance metrics for senior management and business partners for presentation, forecasting, and further analysis.
  • Work as part of a team of data analysts supporting automation tools development for Anti-Money Laundering (AML) Processes and Data Integrity projects, including mapping, requesting, profiling, extracting, analyzing, testing, and reviewing data.
  • Work with AML Governance Team and MLRO to create rules, reports, dashboards, and analyses to enable data-driven decision-making. 
  • Work with Data Scientists collaborating with specification, design, and implementation of data architecture solutions for AML systems.
  • Collaborate with engineers, data scientists, and business partners to prioritize and coordinate analytical and development tasks.

Basic Qualifications

  • Solid analytical background. Must be comfortable manipulating big and small datasets to make decisions (SQL knowledge is required).
  • Ability to tackle complex problems involving a number of topics/variables, such as business, regulatory, operations, and product features. 
  • Great business judgment and ability (and interest) to make, both, strategic and operational decisions. 
  • Experience in project management and business analysis to translate detailed specifications into new or enhanced solutions.
  •  Full professional proficiency in English. 

Preferred Qualification

  • Experience with business intelligence tools, like Looker or Quicksight, and data visualization best practices. 
  • Familiarity with data modeling using statistical algorithms
  • Previous experience with AML, Fraud, or Risk Management

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

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 https://building.nubank.com/nu-hybrid-work-model/ 

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