Fraud Rules Engineer

Fraud Rules Engineer

Location: Charlotte Hybrid (locals preferred, open to relo)

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.

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.