Sr. Data Analyst, Compliance

📋 Description

• Transaction Monitoring: Own and refine the logic and rules used to monitor deposits and
• Detection Logic Development: Translate compliance requirements into reliable, production-ready
• Data Pipeline Engineering: Develop and maintain Python and SQL pipelines for transaction data
• Detection Performance Evaluation: Assess detection rules and analytical models based on coverage
• Historical Analysis and Testing: Design reproducible evaluations using historical data, accounting
• Production Operations: Manage testing, deployment, scheduling, monitoring, and ongoing support for

🎯 Requirements

• Professional Experience: At least 7 years of experience in data analytics, data science, or data
• Cross-Functional Collaboration: Experience working with compliance, fraud, funding, finance, or
• Python and SQL: Strong proficiency in Python and SQL, with hands-on experience developing
• Data Modeling: Experience with dbt or similar tools for structuring, transforming, and maintaining
• Pipeline Orchestration: Experience building and managing data pipelines, with a solid understanding
• Software Engineering Practices: Familiarity with version control, automated testing, code reviews

🎁 Benefits

• Remote Work: The flexibility to work remotely from Brazil within an internationally distributed
• Meaningful Impact: The opportunity to strengthen compliance and transaction monitoring capabilities
• Technical Ownership: End-to-end responsibility for analytical systems, detection logic, data
• Advanced Analytics: Opportunities to explore statistical methods, detection optimization
• Cross-Functional Exposure: Collaboration with compliance, finance, fraud, and other business and
• Professional Development: Opportunities to deepen expertise in data engineering, risk analytics