Key skills
AirflowSparkSQLMLMLOps
About this role
Role Overview
- Design and maintain data pipelines using Airflow (DAGs) to support fraud detection workflows
- Process and analyze large volumes of transactional data using Spark
- Develop, evaluate, and monitor fraud risk scoring models
- Perform exploratory analyses to identify fraud patterns, anomalies, and emerging risk behaviors
- Create and maintain dashboards to monitor fraud KPIs (approval rate, chargeback rate, fraud rate, false positive rate, among others)
- Collaborate with Product, Payments, and Risk teams to evolve fraud prevention strategies
- Contribute to MLOps and ML Engineering practices for deployment and monitoring of fraud models
Requirements
- Experience with Airflow and building data pipelines
- Experience with Spark for large-scale data processing
- Solid experience in fraud analysis and risk modeling
- Experience building and monitoring fraud scoring models
- Experience creating dashboards and tracking fraud KPIs
- Knowledge of MLOps and ML Engineering
- Strong command of SQL and data analysis
- Conversational Spanish
- Approximately 3 to 4 years of professional experience
Tech Stack
- Airflow
- Spark
- SQL
Benefits
- Bradesco National Network Health Plan — extended to dependents at no additional cost
- Bradesco dental plan — optional
- Flexible Meal/Food Allowance (VR/VA) — maintained during vacation
- Profit-sharing (PLR)
- Wellhub
- Birthday day off
- Home office allowance
- Transportation voucher (VT) as needed — deductions permitted by law
- Zurich Life Insurance
- Free access to all our products — AppsClub, Clube de Descontos, TrueCaller, BTFit and Busuu
- Access to internal training via digital platforms
- Internal employee recognition program — Bemobucks