Risk Intelligence Engineer

Summary

Join our team as a Senior Risk Intelligence Engineer and leverage your expertise in ETL development, Python programming, and fraud analytics to drive innovative risk solutions. You will lead critical anti-fraud initiatives, develop and execute risk data acquisition and ETL processes, and leverage advanced tools like Elasticsearch, Lucene, and Python to analyze and mitigate fraudulent activities. This remote role requires collaboration with cross-functional teams to deliver high-impact intelligence products, applying your analytical and DevOps expertise to safeguard clients. You will transform complex data into actionable insights, research emerging fraud prevention technologies, and maintain data standards. This contract-to-hire position offers competitive pay and the opportunity to shape the future of risk intelligence.

Requirements

• 6+ years in fraud, data science, modeling, or risk management
• 3+ years in ETL development and data integration, with hands-on experience writing ETL code in Python
• Experience with DevOps practices and tools (e.g., Docker, Kubernetes)
• Proficiency in Elastic Stack administration (Elasticsearch and Kibana) and Red Hat Enterprise Linux
• Advanced knowledge of Lucene and Python for querying and programming
• Support experience in production environments, including troubleshooting and ticket management
• Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline
• Strong analytical skills to identify trends, anomalies, and actionable insights from complex datasets
• Exceptional problem-solving abilities and the capacity to think creatively to address fraud challenges
• Excellent communication skills to facilitate collaboration with stakeholders and present findings clearly
• Ability to work independently with minimal oversight in a fully remote setting

Responsibilities

• Develop ETL Pipelines : Write advanced ETL code in Python to integrate and load data into Elasticsearch and other fraud applications, ensuring seamless data flow for risk analytics
• Program Fraud Detection Tools : Utilize Lucene and Python to create sophisticated queries and procedures that identify and mitigate fraudulent activities across multiple channels
• Conduct Threat Research : Analyze global fraud trends, detect anomalies, and map financial and criminal networks using proprietary tools and large datasets
• Support Production Systems : Manage and troubleshoot Elastic Stack (Elasticsearch and Kibana) clusters, monitor support tickets, and resolve issues in a production environment
• Deliver Actionable Insights : Transform complex data into high-quality intelligence products for decision-makers, providing strategic recommendations to internal teams and clients
• Drive Innovation : Research emerging fraud prevention technologies and methodologies, and propose creative solutions to enhance risk intelligence capabilities
• Collaborate Across Teams : Partner with Product, Enterprise Risk, Risk Services, and IT teams to align analytics solutions with business goals and provide thought leadership
• Maintain Data Standards : Support risk intelligence data standards and recommend improvements to optimize current and future data needs

Preferred Qualifications

Familiarity with BI tools like Tableau or PowerBI