Fraud Detection Engineer

THE TEAM YOU WILL BE JOINING

• You’ll be joining Corporate Engineering organization, responsible for delivering reliable, scalable end-user technology and IT operations to ~2,000 employees globally
• The team supports a modern, cloud-first environment and operates across Oakland (HQ), Charlotte, and London, partnering closely with Security, People Operations, and Engineering as the company continues to scale.
• This role leads a distributed IT Support function consisting of 5 IT Support Engineers and ~5 contractors across multiple time zones.

• High-visibility IT leadership role within a globally recognized fintech organization
• Opportunity to modernize and scale Corporate IT Operations in a high-growth environment
• Strong partnership with Corporate Engineering and Security leadership
• Exposure to automation, API-driven workflows, and modern IT tooling
• Blend of hands-on technical ownership and people leadership

Oakland, CA

• Design, develop, and maintain fraud detection rules by translating business requirements into clear, scalable, and efficient rule logic within the rules engine.
• Build and enhance declarative rules using Drools or similar frameworks, and develop custom Java-based rule components to ensure high performance and system efficiency.
• Write, optimize, and maintain complex SQL queries to extract, transform, and structure transactional data required for accurate fraud evaluation.
• Collaborate with cross-functional teams including product, risk, data, and engineering to refine fraud detection strategies and implement rule enhancements.

• Strong programming fundamentals with the ability to translate business requirements into structured, efficient rule logic using clearly defined conditions and actions.
• Experience working with rules engines and declarative rule writing. Familiarity with Drools is preferred, and a working knowledge of Java is helpful for developing high-performance custom rule code.
• Proven ability to write and optimize complex SQL queries to retrieve, manipulate, and prepare transactional data for use within a fraud detection rules engine.
• Hands-on experience using Git in a collaborative development environment, including branching, merging, and maintaining changes within a centralized rules repository.
• Demonstrated analytical skills with experience developing logic related to fraud detection, risk management, or similar analytical domains.