Principal Business Risk Control

About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job Responsibilities End-to-End Fund Risk Strategy System Building Responsible for fund security across all business lines (e.g., wealth management, trading, RWA, and other core products). Build real-time, layered risk control decision strategies based on device fingerprints, behavioral time-series, transaction chains, relationship graphs, and network features. Risk Data Analysis, Loss Quantification & Adversarial Review Leverage massive transaction data in Hive using SQL and Python to conduct risk case mining and black market attack chain reconstruction. Continuously monitor core metrics: actual loss rate, interception rate, false positive rate; identify strategy gaps and produce thematic analysis reports. Strategy Design, Gray Release Experimentation & Iterative Deployment Design rule-based strategies; manage gray-release traffic allocation, A/B experiment design, and effectiveness evaluation. Drive strategy integration into the real-time decision engine for production launch. Continuously counter black market actors, forming a closed loop of risk identification → intervention → post-mortem → iteration. Major Loss Incident Emergency Response Participate in emergency triage for major online fund security incidents: stop the bleeding, trace the risk source, and implement urgent blocks. Accumulate black market intelligence and gang characteristics to build risk feature libraries and intelligence databases. Cross-Team Collaboration & Risk Control Capability Building Coordinate with algorithm, product, engineering, compliance, and anti-fraud operations teams. Integrate machine learning models, device fingerprinting, and behavioral sequence capabilities to optimize the decision system. Abstract common risk control capabilities and drive the construction of feature platforms and risk control middle platforms. Risk Metrics System Construction Build scenario-based risk monitoring dashboards, establish anomaly fluctuation early-warning mechanisms, and drive long-term risk governance initiatives. ────── Job Requirements Basic Qualifications Bachelor's degree or above; Statistics, Mathematics, Computer Science, Financial Engineering, or Data Science preferred; Master's degree preferred. 3–6 years of hands-on experience in payment / internet fund security / transaction anti-fraud risk control strategy. Experience at Alipay, WeChat Pay, leading consumer finance companies, or bank online payment risk control is preferred. Skills & Capabilities Proficient in complex SQL (Hive/MaxCompute); skilled in Python for data mining and feature analysis; able to independently complete risk quantification calculations and experiment evaluation. Deep understanding of payment risk scenarios: account takeover (ATO), telecom fraud, money mule/fund running, abnormal batch transactions. Familiar with real-t…