What are the responsibilities and job description for the Fraud Detection Engineer position at AccruePartners?
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.