Description The Fraud Rules Engineer will support the Safety Team by designing, implementing, testing, and maintaining fraud detection rules within a proprietary internal rule engine. This role requires strong foundational programming skills and the ability to translate fraud strategies, business logic, and analytical insights into clear, efficient rules that prevent account-level fraud.
Requirements Key Responsibilities- Develop, implement, and deploy fraud detection rules in the internal rule engine.
- Translate fraud strategies and business requirements into structured rule logic.
- Monitor rule performance and tune/optimize logic to improve detection while minimizing customer impact.
- Test rules and perform performance analysis throughout the rule lifecycle.
- Document all rules, logic changes, and updates according to governance standards.
- Utilize SQL to evaluate rule performance and analyze supporting data.
- Follow structured change-management and governance processes for rule deployment.
- Collaborate with the Logic Strategy Team to translate fraud scenarios into rule-based countermeasures.
Required Qualifications- Strong foundational programming skills (more technical than a data analyst).
- Experience developing or maintaining rule-based logic systems.
- Proficiency with SQL, including writing and optimizing complex queries.
- Familiarity with Java-based environments and JVM concepts.
- Experience in fraud prevention such as identity fraud, account takeover, onboarding risk, or application risk.
- Experience with performance testing, rule evaluation, and tuning.
- Ability to balance rule effectiveness with customer experience considerations.
- Experience working within structured change-management or governance frameworks (preferred).
- Comfort working within virtualized environments.
- Ability to understand object-oriented concepts (e.g., classes), though production Java coding is not required.
Preferred Technical Skills- Experience with declarative rule writing; Drools knowledge is a plus.
- Understanding of rule-engine logic patterns and high-performance rule construction.
- Working knowledge of Git, including branching, merging, and managing updates to a central rule repository.
- Demonstrated analytical aptitude or prior experience developing fraud detection logic.
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