Job Description
Responsible for end-to-end risk control management of various marketing campaigns, operational activities, and promotional events, including activity rule review, risk assessment, and prevention strategy formulation.
Establish and optimize real-time monitoring systems for activities to promptly detect abnormal behaviors, fraudulent orders, coupon abuse, and other risks, and organize rapid response measures.
Conduct data analysis and post-event reviews to identify potential risk points through data mining, continuously iterating risk control strategies.
Participate in the development and optimization of risk control models, leveraging mathematical and statistical methods to improve the accuracy and efficiency of risk identification.
Develop risk control standards and guidelines, promoting the standardization and automation of risk control processes.
Coordinate cross-departmental communication to ensure activities are launched smoothly and operate efficiently under controlled risks.
Monitor industry trends and research best practices in risk control for exchange and fintech-related activities.
Key Responsibilities
- Oversee risk management for marketing and promotional campaigns.
- Design and implement real-time monitoring mechanisms to detect fraud and abuse.
- Analyze activity data to refine risk control strategies.
- Collaborate in building and optimizing risk models using statistical methods.
- Standardize risk control procedures and drive automation initiatives.
- Facilitate interdepartmental coordination for seamless campaign execution.
- Stay updated on industry risk control advancements in fintech and trading platforms.
Job Requirements
- Bachelor's degree or higher from a reputable university, preferably in Mathematics, Statistics, Computer Science, Financial Engineering, or related fields.
- Minimum 3 years of experience in risk control for exchange or fintech platform activities, with preference for candidates from leading exchanges.
- Proficiency in data analysis tools (SQL, Python/R), with strong data interpretation and anomaly detection skills.
- Familiarity with machine learning/risk model principles and hands-on experience in model development and tuning.
- Solid foundation in mathematics, statistics, and logical analysis, with a good grasp of probability theory and statistical modeling.
- Excellent communication, coordination, and stress management skills, capable of making quick decisions in high-frequency activity environments.
- Strong risk awareness, responsibility, attention to detail, and results-driven mindset.
Benefits
Remote work flexibility.
