About the company
About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.
Job Summary
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. 📍3+ 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
