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Risk Intelligence Engineer at Qode. Senior Risk Intelligence Engineer. Are you a proactive problem-solver with a passion for combating fraud through data-driven solutions? Join our team as a Senior Risk Intelligence Engineer, where your expertise in ETL development, Python programming, and fraud analytics will drive innovative risk solutions. This role is ideal for an independent thinker who thrives in a fast-paced, remote environment and excels at transforming complex data into actionable insights.. About the Role. As a Senior Risk Intelligence Engineer, you’ll lead critical anti-fraud initiatives by developing and executing risk data acquisition, ETL processes, and fraud strategy programs. You’ll leverage advanced tools like Elasticsearch, Lucene, and Python to analyze and mitigate fraudulent activities, while collaborating with cross-functional teams to deliver high-impact intelligence products. This is an opportunity to apply your analytical tradecraft and DevOps expertise to safeguard our clients and shape the future of risk intelligence.. LOCATION:       REMOTE in the US. JOB TITLE:        Sr Risk Intelligence Engineer. PAY:                   $55-60/hr . DURATION:       Contract to Hire.  . What You’ll Do. . . 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.. . What We’re Looking For. . . Experience. :. . 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.. . Familiarity with BI tools like Tableau or PowerBI (preferred but not required).. . . Education. : Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.. . . Skills. :. . 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.. . . Mindset. : A curious, innovative professional who thrives on researching new technologies, digging deep into data, and delivering impactful solutions with enthusiasm.. . Company Location: United States.