Senior Data Analytics Engineer – Risk, Fraud and Disputes

The Senior Data Analytics Engineer will partner with risk/fraud/dispute engineers, data scientists, and product managers to understand business needs and translate them into data-driven solutions. They will lead the creation of labeled datasets to support supervised machine learning and rules-based fraud detection and chargeback prediction. The role involves partnering with ML engineers and backend teams to productionize data, and analyzing large transactional, fraud, and chargeback data to uncover trends, detect anomalies, and support deep-dive investigations. Responsibilities include creating and maintaining real-time dashboards and reporting for key KPIs across Fraud, Risk, and Disputes for leadership, operations, and product teams. The engineer will recommend data improvements to enhance fraud and chargeback detection capabilities and reduce false positives/negatives. They will also act as a domain expert in fraud and dispute data, supporting internal investigations and external customer data queries, and partnering with Finance or Operations to answer questions about dispute costs and win/loss rates. Collaboration with Engineering to develop and maintain Airflow pipelines and ETL workflows to support scalable data pipelines is also a key responsibility.