Risk Control Strategy Expert

Responsible for developing risk control strategies covering marketing campaigns, community content and asset management. Utilize data analysis, strategy design, model collaboration and automated monitoring to mitigate black/grey industry fraud, content diversion and financial product risks, ensuring business security and good user experience. - Design and optimize risk control strategies across key business scenarios, including marketing campaigns, community content, and crypto asset management products. - Build anti-fraud strategies for promotions, coupon campaigns, instant discounts, referral programs, user acquisition, and activation scenarios, covering pre-event alerts, real-time blocking, and post-event audits. - Develop content risk control strategies to detect and handle private traffic diversion, spam text, malicious images, abnormal account behavior, and coordinated abuse. - Establish risk control frameworks for asset management and fund-like financial products, including NAV monitoring, market volatility alerts, leverage risk, position risk, liquidity risk, stop-loss triggers, and forced liquidation mechanisms. - Analyze fraud patterns, black-market attack methods, and abnormal behavior using multi-dimensional data; build and maintain risk labels, blacklists, whitelists, sensitive keyword matrices, and risk indicators. - Work closely with Product, Operations, Engineering, Algorithms, Data Science, and Quant Investment teams to turn risk strategies into product features, automated models, and monitoring modules. - Bachelor’s degree or above in Computer Science, Statistics, Finance, Information Technology, or a related field. - 3-5+ years of experience in risk control strategy, marketing risk control, content safety, financial risk management, or related fields. - Strong understanding of fraud scenarios such as promotion abuse, batch registration, account farming, private traffic diversion, community spam, and account governance. - Proficient in SQL and experienced with Python or other common data analysis tools; able to independently identify abnormal patterns and evaluate strategy performance. - Familiarity with NLP, image processing, graph analysis, risk control models, VaR, stress testing, or liquidity risk analysis is a plus. - Experience in cryptocurrency, asset management, community platforms, e-commerce, growth, or financial products is preferred. - Strong cross-functional communication skills, ability to work in a fast-paced adversarial environment, and a results-oriented mindset.