Senior Risk Intelligence Engineer

About the Opportunity: Senior Risk Intelligence Engineer

Are you passionate about protecting systems and users from fraudulent activity using powerful data insights? We’re seeking a skilled and proactive Senior Risk Intelligence Engineer to join our team. In this vital role, you will be at the forefront of developing and implementing cutting-edge solutions to detect, analyze, and mitigate fraud, leveraging your expertise in data engineering, analytics, and production support. If you thrive in a dynamic, remote environment and possess a strong analytical tradecraft, this is your chance to make a significant impact.

About Us

At Qode, we connect exceptional technical talent with opportunities where they can truly make a difference. We’re committed to creating a better world of work by fostering transparency, trust, and collaboration. By joining a team through Qode, you’re partnering with professionals dedicated to supporting your career journey and ensuring you find meaningful work that aligns with your skills and passions.

What You’ll Do

• Develop Robust ETL Pipelines: Design, build, and optimize complex data pipelines using Python to ingest, transform, and load critical risk data into platforms like Elasticsearch and other analytical systems.
• Engineer Fraud Detection Strategies: Utilize advanced querying and programming skills with Lucene and Python to create sophisticated rules and procedures that identify and flag fraudulent behaviors across various channels.
• Conduct Deep Dive Threat Analysis: Proactively research global fraud trends, analyze anomalies in large datasets, and map complex financial or criminal networks to uncover emerging threats.
• Ensure Production Stability: Provide essential support and administration for our production Elastic Stack clusters (Elasticsearch and Kibana), monitoring performance, troubleshooting issues, and resolving support tickets promptly.
• Deliver Actionable Risk Insights: Translate technical findings and complex data into clear, high-quality intelligence products and strategic recommendations for internal stakeholders and clients.
• Drive Innovation: Stay ahead of the curve by researching new fraud prevention technologies, methodologies, and tools, proposing creative solutions to enhance our risk intelligence capabilities.
• Collaborate Across Functions: Partner closely with Product, Enterprise Risk, Risk Services, and IT teams to align technical solutions with business objectives and provide thought leadership in data analysis and risk mitigation.
• Maintain Data Integrity: Support and enhance our risk intelligence data standards, recommending improvements for current and future data acquisition and utilization needs.

What You’ll Bring

We’re looking for a seasoned professional with a strong foundation in data, risk, and technology.

Required Experience & Skills:

• Minimum of 6+ years of experience in areas such as fraud analysis, data science, risk management, or data modeling.
• At least 3 years of hands-on experience in ETL development and data integration, with proven ability to write sophisticated ETL code in Python.
• Solid understanding and practical experience with DevOps practices and tools (e.g., Docker, Kubernetes).
• Proficiency in the administration of the Elastic Stack (Elasticsearch and Kibana) in production environments.
• Strong working knowledge of Red Hat Enterprise Linux (RHEL).
• Advanced capability in using Lucene and Python for complex querying, data manipulation, and programming tasks.
• Demonstrated experience supporting and troubleshooting systems in a production environment, including managing and resolving support tickets.
• Excellent analytical and problem-solving skills, with the ability to identify trends, detect anomalies, and extract actionable insights from large, complex datasets.
• Strong communication skills, capable of collaborating effectively with cross-functional teams and presenting technical information clearly to both technical and non-technical audiences.
• Ability to work effectively and independently with minimal oversight in a fully remote setting.

Nice-to-Have:

• Familiarity with Business Intelligence (BI) tools such as Tableau or PowerBI.

Education:

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.

Mindset:

• A naturally curious, innovative, and proactive approach. You enjoy digging deep into data, researching new technologies, and enthusiastically delivering impactful solutions that protect our clients.

Logistics & Details

• Location: Fully Remote (US Only)
• Role Type: Contract to Hire
• Compensation: $55 – $60 per hour

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