What You’ll Be Doing:

📍Drive risk product / business of OKX to world-class, align risk product development with business and risk strategy so that financial losses, customer experience and business growth are well balanced 📍Oversee fraud risk management across our portfolio of fiat payment products; develop and implement risk strategies and processes to proactively prevent and detect fraud, including ACH and bank transfer fraud, account takeovers, and card transaction fraud 📍Evaluate and implement cutting-edge fraud detection technologies and tools to enhance our fraud prevention capabilities 📍Define and monitor all levels of metrics to measure the success of the product and utilize data insights for risk product 📍Hands-on ability to extract & analyze data using SQL & Python 📍Promote a data-driven culture within the department with value-added data analysis and timely management of information; 📍Establish effective cross-functional relationships with Product, Customer Service, Business Intelligence, Engineering, Marketing, Business Development to build and operationalize robust risk solutions to address emerging business issues.

What We Look For In You:

📍Master’s degree in Statistics, Mathematics, Operations Research, Computer Science, Economics, 📍Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 📍Product management experience in the fraud risk space with past experience in AI and machine learning. 📍5+ years of fraud analytics experience in financial services or FinTechs 📍Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization; 📍Experience with risk/data analytics, tools, and concepts, Risk Rule Engines, Risk Modeling, Identity Verification, etc.; 📍High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions 📍Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring 📍Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment 📍Ability and willingness to travel as needed.