Data and ML hub for fraud detection and operational efficiency
Domo Inovação operates a data-heavy innovation unit within Grupo Mercantil, built on Snowflake, Python, and scikit-learn with dbt orchestration and Power BI visualization. The team is laser-focused on fraud prevention (dashboards, anomaly detection, alert rules) and channel performance optimization—a pain-point pattern that suggests the parent organization is managing risk and monetization pressure in a high-transaction environment. Hiring is minimal and senior-skewed (4 senior, 1 mid, 1 junior), indicating a mature, core team rather than a growth-phase expansion.
Domo Inovação is the innovation and digital transformation hub of Grupo Mercantil, a financial services company based in Belo Horizonte, Brazil. The unit was founded in 2021 and operates as a private subsidiary with 51–200 employees. The team builds data pipelines, machine-learning models, and monitoring systems primarily focused on fraud detection, anomaly identification, and app-channel performance. Work spans Python-based predictive modeling, real-time alerting, and business intelligence dashboards—all grounded in Snowflake as the analytics warehouse. Current operational focus includes incident reduction, automation of manual processes, and financial-loss mitigation for the parent organization.
Primary stack: Snowflake (data warehouse), Python, scikit-learn, TensorFlow, and Keras (ML), dbt (transformation), Apache Airflow (orchestration), Power BI (visualization). Supporting tools include Jupyter, Pandas, PySpark, Plotly, and SQL.
Active projects include fraud prevention dashboards, automated anomaly detection models, alert-rule development, predictive modeling, app-channel feature development and performance optimization, and automation strategy initiatives.
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