Job Summary
We are looking for a skilled Credit Card Rule Engine Configuration Specialist who has practical experience in credit card business or risk model design.
Responsibilities
- Configure, manage, and optimize the rule engine for credit card services, ensuring rule configurations meet business requirements and risk control strategies.
- Analyze and interpret business needs, translating them into actionable rule configurations, and developing appropriate rule strategy plans.
- Collaborate closely with product, risk management, data analysis, and technical teams to understand business goals and requirements, ensuring the rule engine configuration meets expectations.
- Monitor rule performance, regularly analyze and evaluate rule effectiveness, and propose and implement optimization suggestions.
- Develop and maintain documentation and operational manuals for rule engine processes to improve management efficiency and standardization.
- Participate in the design and optimization of the rule engine system to enhance its flexibility, stability, and responsiveness.
Qualifications
- Bachelor's degree or above in Computer Science, Finance, Economics, Statistics, Mathematics, or a related field.
- At least 1 year of experience in rule engine configuration, rule management, or business analysis, preferably in credit card or other financial risk control areas.
- Familiarity with rule engine principles and experience with common rule configuration tools such as Drools or FICO Blaze Advisor is a plus.
- Strong data analysis and logical thinking skills, with proficiency in SQL, Python, or other tools for data analysis and reporting.
- Excellent communication and teamwork skills, with the ability to collaborate effectively across departments and drive project implementation.
- High sense of responsibility, attention to detail, and the ability to quickly respond to business needs and adapt to changes.
Preferred Qualifications
- Practical experience in credit card business or risk model design.
- Familiarity with financial regulatory requirements and risk compliance.
- Knowledge of machine learning or data mining with project experience in using ML
- algorithms to optimize rules.
