Regulatory Quant & Intelligence Specialist (Regulatory Compliance)

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. Role Overview We are seeking a mid-level Regulatory Quant & Intelligence Specialist to sit within the Regulatory Compliance function and build the organisation's AI-native legal and compliance intelligence capability. This role combines regulatory expertise, analytical/quant skills and AI-enabled workflow design to transform how regulatory and legal decisions are made, documented and automated across the business. You will model legal and regulatory reasoning into structured decision systems, design AI-enabled workflows for compliance operations, and ensure outputs remain explainable, auditable and aligned with the firm's risk appetite and regulatory obligations. Key Responsibilities Regulatory Decision Modelling Translate legislation, regulatory guidance and internal policies into structured decision frameworks, rule sets and scoring models that can be embedded into compliance processes and tooling. Define quantitative thresholds (risk scores, confidence levels, escalation triggers) that determine when automated decisions are appropriate versus when human review is required, aligned with regulatory expectations and internal governance. AI-Enabled Compliance Workflows Design and prototype AI-powered workflows for regulatory research, licensing analysis, policy drafting, onboarding/KYC, surveillance and incident management within the Regulatory Compliance function. Collaborate with engineers and data teams to implement LLM/RAG/agentic workflows that support compliance advisory, regulatory mapping and ongoing monitoring, ensuring strong grounding, documentation and audit trails. Quant Analysis and Evaluation Build and maintain simple analytical/quantitative models to assess regulatory risk, scenario outcomes and potential enforcement impact, supporting proactive compliance strategy and licence/posture decisions. Design evaluation frameworks to periodically test and calibrate decision models and AI-enabled workflows against real-world cases, internal incidents and regulatory feedback. Regulatory Research and Intelligence Conduct structured regulatory research across key jurisdictions (e.g. Singapore, EU/EEA, UK, Australia, Middle East) and maintain internal views on how evolving rules impact existing and new products. Convert regulatory developments into machine-readable rules, guidance notes and internal playbooks that can be consumed by compliance staff and AI systems. Governance, Documentation and Stakeholder Engagement Draft and maintain documentation for decision frameworks, model assumptions, limitations and human-in-the-loop controls, aligned with AI governance and compliance best practices. Partner with Legal, Product and Engineering to embed regulatory requirements into product design and internal tools, and support responses to regulators, auditors and internal risk co…