Senior Risk Intelligence Engineer - Remote

Overview

As a Senior Risk Intelligence Engineer, you will drive innovative risk solutions by leveraging your expertise in ETL development, Python programming, and fraud analytics to combat fraud through data-driven methods.

In Short

• Lead anti-fraud initiatives and develop risk data acquisition.
• Create ETL processes and fraud strategy programs.
• Analyze and mitigate fraudulent activities using advanced tools.
• Collaborate with cross-functional teams to deliver intelligence products.
• Support and manage Elastic Stack clusters.
• Transform complex data into actionable insights.
• Research emerging fraud prevention technologies.
• Maintain data standards and recommend improvements.

Requirements

• 6+ years in fraud, data science, modeling, or risk management.
• 3+ years in ETL development with Python.
• Experience with DevOps tools like Docker and Kubernetes.
• Proficiency in Elastic Stack (Elasticsearch and Kibana).
• Advanced knowledge of Lucene and Python.
• Support experience in production environments.
• Bachelor’s degree in Computer Science or related field.
• Strong analytical and problem-solving skills.

Benefits

• Opportunity to work in a fully remote environment.
• Collaborate with a passionate team dedicated to innovation.
• Engage in meaningful work that combats fraud.
• Access to resources and tools for professional development.