Senior Product Manager, Risk Intelligence Product

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity: The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices. Our vision is building a world class smart and scalable risk service that will prevent, detect, and respond to fraud which will improve business revenue, reduce user friction, and enhance user trust . As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable our legitimate customers to gain access to a wide array of crypto assets. The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer risk experience. This role will work closely with risk strategy, risk analytics, operations, engineering partners and compliance to achieve the business success goals of the company. If you are an entrepreneurial product leader, who doesn't hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing: - Drive risk platform product / business of OKX to world-class, align risk product initiative and development with business, engineering and risk strategy teams so that financial losses, customer experience and business growth are well balanced - Manage ML/AI model projects in risk related domains, especially identity verification domain for product features of liveness detection, face comparison, id verification, etc as well as intelligence in risk investigation and reporting - Work with data science, data analyst, ML engineering and development team to build, implement, monitor and constantly improve model services - Highly adaptive and comfortable dealing with ambiguity. Highly data-driven in product & business decision making process - Passionate about customer experience; always driven to seek customer feedback and obsessed with customer experience improvement & optimization - Define and monitor all levels of metrics to measure the success of the product; drive epic and sprint level prioritization and product backlog grooming etc - Strong and positive collaboration skills to lead and drive the entire product research, design and development process with cross-functional stakeholders What We Look For In You: - Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. - 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc - Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development - 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 - Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch - 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 functio

Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc. Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development. 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. Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch. Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring.