Data Analytics

Our AML Data Analytics at Nubank

We work to be at the forefront of (anti-money laundering) AML/CTF (counter-terrorism financing) in the world by leveraging Nubank resources to be recognized by stakeholders and avoided by criminals, without jeopardizing the experience of our real and fanatical customers’ experience.

 

As an AML Data Analyst, you'll be expected to:

• Support enhancing, monitoring, and maintaining an expert rules system for anti-money laundering alerts to reduce the alert volumes to be sent over and prioritize cases for AML operations analysts.
• Acquire AML and data analysis proficient knowledge to identify challenges and opportunities in the AML program and leverage analytics and automation tools to address them.
• Create risk models, hypothesis testing, and alerts forecasting to enable the company to be protected and compliant while making pro-business and customer-centric decisions. Apply machine learning/AI for data modeling.
• Develop segmentation model building projects using Machine Learning and statistical analysis techniques.
• Produce and maintain proper documentation of models and tools deployed.
• Partner with our engineers, data scientists, designers, and business partners to coordinate and prioritize tasks involving your analysis and developments.
• 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 requesting, profiling, extracting, analyzing, testing, and reviewing data.
• Work with Analytics Engineers collaborating with specification, design, and implementation data architecture solutions for AML systems. 

 

Technical Skills:

Programming

• SQL Expertise (Scala SQL): Skilled in writing complex SQL queries, including joins, window functions, Common Table Expressions (CTEs), and optimizing query performance. Scala: Hands-on experience using Scala SQL for data manipulation, querying, and processing within Spark-based environments.

• Python and R: Experience  in Python (e.g., Pandas, NumPy, Matplotlib) or R (e.g., dplyr, ggplot2) for data manipulation, analysis, and scripting.
• Object-Oriented Programming (OOP): Hands-on experience applying OOP principles to develop modular, reusable, and scalable code in Python, Java, or similar languages.

ETL (Extract, Transform, Load)

• Proven ability to design, build, automate, and maintain robust ETL pipelines for data extraction, transformation, and loading.
• Strong expertise in data cleansing, normalization, transformation, and integration techniques to ensure high-quality datasets.

Data Management

• Deep understanding of relational databases (e.g., PostgreSQL, MySQL, Oracle) and their optimization techniques.
• Experience with modern data warehousing solutions, such as Snowflake, BigQuery, and Amazon Redshift, including schema design and query optimization.

Statistical Techniques and Tools

• Strong understanding of fundamental statistical concepts, including measures of central tendency (mean, median), dispersion (standard deviation, variance), and quantiles.
• Familiarity with machine learning basics, including regression, classification, and clustering techniques, and tools like Scikit-learn or TensorFlow (optional).

Other Tools

• Experienced in version control systems like Git for collaboration and version management in data projects.
• Familiarity with Jupyter Notebooks, VS Code, or similar environments for code documentation and analysis.

Visualization and BI Tools (Optional)

• Proficient in creating interactive dashboards and reports using Tableau, Power BI, or Looker.

We are looking for an AML Data Analyst professional who has:

• 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.
• Solid analytical background. Must be comfortable manipulating big and small datasets to make decisions.
• Experience with business intelligence tools, like: Looker or Data Studio, and data visualization best practices.
• Familiarity with data modeling using statistical algorithms.
• AI/ Machine learning knowledge is a plus.
• Full professional proficiency in English.

 

Benefits

• Health and life insurance 
• Food card
• 17 days of paid vacation with 25% vacation bonus
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• NuCare - Our mental health and wellness assistance program
• NuLanguage - Our language learning program
• Extended maternity and paternity leaves 
• Equity at Nubank

 

*Interviewing and onboarding are currently done virtually due to COVID-19. Everyone new to the team and our current staff will remain working from home until it is safe to return to our offices. When it’s time, we will require a fixed cadence of visiting the office in which employees go to their Business Unit's (BU) base location. Employees will have an employment contract based on the cities that Nu’s offices are located, considering their country of hire. More details can be shared during your hiring process.