Who We Are

About The Opportunity

What You’ll Be Doing 

What We Look For In You 

• Degree in a relevant area (Mathematics/Physics/Engineering/Computer Science/Finance) from a top university.
• Required skill in flow business
• Required skill in systematic trading in crypto or traditional markets
• Experience in cryptocurrency products is a plus.
• Ability to work in a fast-paced environment and make rational decisions under pressure.
• High attention to detail and excellent communication skills

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

#LI-MX1

Who We Are

About The Opportunity

We are looking for a systematic trader to manage quantitative trading strategies and help improve the in-house trading and risk management platform. The firm has presence in major cryptocurrency exchanges and it trades different kinds of products in the market, ranging from spot to structural products. The firm is highly tech-driven with people from top-tier investment banks, hedge funds, and tech companies.

What You’ll Be Doing 

• Make markets for crypto-fiat orderbook.
• Systematic RFQ quoting for D1 instruments.
• Conduct research on alpha signals and backtesting to enhance the profitability of trading strategies.
• Work with developers to build and drive the continual improvement of the world-class risk management and trading tools.

What We Look For In You 

• Degree in a relevant area (Mathematics/Physics/Engineering/Computer Science/Finance) from a top university.
• Proven records in systematic trading including market making and other systematic trading strategies.
• Deep understanding of cryptocurrency Delta 1 products and basic knowledge of the cryptocurrency product is a plus.
• Proficient in at least one programming language (Python/Java/RUST/C++).
• Ability to work in a fast-paced environment and make rational decisions under pressure.
• Good communication skills. 
  

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

#LI-ONSITE

#LI-MX1

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

Who We Are

About The Team

What You’ll Be Doing 

What We Look For In You

Nice-To-Haves

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 

Who We Are

About The Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice-To-Haves 

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Who We Are

About The Opportunity

We are looking for a Product Manager who can drive the foundational infrastructure behind AI agent products. As agentic AI rapidly moves from research to production, the platforms that power agent development, evaluation, and deployment have become mission-critical. You will own the product vision, strategy, and execution for these infrastructure systems — ensuring our teams can build, test, and ship high-quality AI agents at scale.

This role is ideal for someone who has worked on AI/ML platforms, developer tools, or data infrastructure, and wants to apply that experience to the frontier of agentic AI.

What We Are Looking For

You have experience building the platforms and tools that empower teams to develop, evaluate, and operate AI agents at production quality. Ideal candidates will have background in one or more of the following areas:

• Data Management & Labeling — annotation platforms, training data pipelines, dataset versioning, data quality assurance, and data governance
• Agent Evaluation & Quality Assurance — benchmarking, automated evaluation, A/B testing, human-in-the-loop review, and feedback-driven model improvement
• Workflow Orchestration & Agent Runtime — multi-step task orchestration, agent observability, debugging tooling, and developer-facing configuration platforms
• Tool / Plugin Ecosystem Management — tool registries, API connector platforms, developer marketplaces, permission management, and security sandboxing

What You’ll Be Doing 

• Own the end-to-end product lifecycle for AI agent infrastructure: from problem discovery and requirement definition, through development and launch, to post-launch iteration
• Define product vision, strategy, and roadmap for infrastructure that serves internal AI product teams as primary customers
• Partner closely with engineering, AI/ML research, and business stakeholders to translate complex technical capabilities into well-scoped, shippable product requirements
• Establish evaluation frameworks and quality metrics that drive continuous improvement of agent performance, reliability, and safety
• Build feedback loops connecting production signals (user ratings, task success/failure, escalations) back into model and data improvement pipelines
• Define platform SLAs, KPIs, and capacity plans; balance scalability and reliability with fast iteration
• Stay current with the rapidly evolving AI agent landscape and translate emerging capabilities (new models, tool-use paradigms, orchestration patterns) into infrastructure opportunities

What We Look For In You

• 5+ years of product management experience, with at least 2 years focused on AI/ML products or developer infrastructure
• Demonstrated experience shipping AI products or platforms to production (consumer or enterprise)
• Strong technical acumen: comfortable discussing model architectures, prompt engineering, API design, and system trade-offs with engineers
• Solid understanding of the AI agent development lifecycle: from data collection and annotation, through model training and evaluation, to production deployment and monitoring
• Data-driven mindset with experience defining KPIs, running experiments, and making decisions under uncertainty
• Strong written and verbal communication in English; Mandarin Chinese is a significant plus

Nice-To-Haves 

• Hands-on experience with AI agent frameworks or platforms (e.g., Claude Skills, Anthropic MCP, LangChain / LangGraph, OpenAI Assistants API, Coze, Dify, or similar)
• Experience building PaaS-level platforms: agent development environments, low-code/full-code toolchains, or multi-agent orchestration systems
• Background in software engineering or technical PM with coding experience
• Experience with responsible AI practices: safety evaluation, bias mitigation, hallucination detection, and guardrail design
• Familiarity with the Web3 or fintech domain
• Understanding of the competitive landscape: familiarity with how leading companies (both in China and globally) are approaching agent infrastructure and evaluation 

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Who We Are

About The Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice-To-Haves

Why this role

Perks & Benefits

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

#LI-VW1 #ONSITE

Who We Are

About The Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice-To-Haves

Why this role

Perks & Benefits

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

#LI-VW1 #ONSITE

Who We Are

About The Opportunity

What You’ll Be Doing 

What We Look For In You 

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

#LI-WWW
#LI-ONSITE

Who We Are

About The Opportunity

Building ML systems for compliance at a crypto exchange is a different kind of problem from most ML engineering work. The data spans on-chain transactions, fiat flows, KYC records, and behavioural signals that very few organisations have in one place. The problems are genuinely unsolved, the stakes are high, and the work has direct bearing on how a global exchange detects and responds to financial crime. For someone who wants their engineering work to matter beyond model accuracy metrics, this is an interesting place to be.

This role sits within a team of data scientists, analytics engineers, and compliance specialists who are building the analytical and AI infrastructure that powers the compliance function. You will work across the full ML lifecycle, from feature pipelines and model development through to deployment and monitoring, with close involvement from the domain experts who understand what the models need to do in practice.

AI-assisted development is how this team works. LLM-assisted coding, automated analytical pipelines, and AI-powered investigation tooling are part of the daily workflow. We are looking for engineers who already operate this way and who can raise the bar for what that looks like in a production compliance environment.

What You’ll Be Doing 

What We Look For In You 

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

#LI-WWW
#LI-ONSITE

Who We Are

About The Opportunity

Few compliance analytics roles offer this combination: genuinely novel problems, global scale, and the freedom to build rather than maintain. At a global crypto exchange, the financial crime data landscape is more varied, more real-time, and more analytically rich than almost anywhere in traditional finance. The regulatory environment is evolving quickly, the typologies are new territory, and the analytical work has direct impact on how the organisation detects and responds to financial crime. This role sits within the Product organisation and is dedicated entirely to that space, covering AML, sanctions, KYC/KYB, transaction monitoring, and beyond.

You will join a collaborative team of data scientists, data engineers, and business analysts, working closely with compliance stakeholders across the full range of financial crime domains. The role sits at the point where product engineering culture meets compliance depth, and you will have room to contribute across both. It is a role well suited to someone who enjoys varied, substantive work and values being part of a team that takes the quality of its output seriously.

The team is actively building toward an AI-native way of working. LLM-assisted coding, automated analytical pipelines, and AI-augmented investigation tools are already part of how the team operates or in active development. For someone who has wanted to apply AI seriously in a compliance context without cutting corners on rigour or auditability, this is an environment where that work is already underway and genuinely valued.

What You’ll Be Doing 

• Lead delivery of advanced analytics and AI initiatives across core compliance domains including AML detection, sanctions screening, KYC/KYB risk modelling, customer risk rating, transaction monitoring calibration, and SAR analytics, with involvement from problem definition through to production.
• Work as the primary point of contact between the Product engineering team and compliance stakeholders, translating regulatory requirements into scoped analytical workstreams and bringing analytical findings back to compliance teams in a form that is clear, actionable, and well grounded in the underlying data.
• Drive the adoption of AI-assisted workflows across the team's compliance analytics work: LLM-assisted coding, automated analytical pipelines, AI-augmented investigation and triage. You will help demonstrate what AI-native working looks like in a compliance context and support the broader team in building confidence with these approaches.
• Work hands-on with ML engineers on detection models and risk scoring systems that are production-grade and auditable. Compliance analytics requires both explainability and reliability, and experience balancing those two requirements in practice will be important here.
• Provide technical guidance and mentorship to data scientists and analytics engineers through code and methodology reviews, collaborative problem solving on complex compliance workstreams, and a consistent focus on raising the quality of the work across the team.
• Partner with product managers on scoping, sequencing, and effort estimation for compliance analytics initiatives, bringing both technical and regulatory context to delivery planning conversations.
• Maintain documentation and governance standards for compliance analytics output, ensuring that models and analyses are recorded clearly enough to support internal review, regulatory scrutiny, and knowledge continuity within the team.
• Contribute to regulatory responses and internal audit events by leading the data science workstream: coordinating analytical evidence, supporting the technical narrative, and presenting findings to compliance and legal review functions where required.

What We Look For In You 

• 10+ years in data science, quantitative analytics, or ML, with meaningful time in a leadership or senior individual contributor capacity in a compliance or regulatory analytics environment within financial services, fintech, or a crypto exchange. We welcome candidates across varied seniority levels; scope and responsibilities will be calibrated to your experience.
• Solid compliance domain knowledge, with hands-on experience across one or more of AML typology detection, sanctions analytics, KYC/KYB modelling, customer risk rating, or transaction monitoring. Comfort navigating nuanced conversations with compliance stakeholders, where analytical and regulatory requirements do not always align neatly, will serve you well in this role.
• Strong Python and SQL, applied ML across supervised, unsupervised, anomaly detection, and graph-based methods, and enough MLOps and data engineering fluency to engage credibly in production design conversations with engineers.
• A working AI-first mindset: you use AI tools regularly in your own work, have a view on where LLMs and automation genuinely improve compliance analytics workflows, and understand where they introduce risk. Experience helping a team build confidence with new AI approaches is a plus.
• Good cross-functional communication skills, with the ability to engage clearly with compliance officers, product managers, and engineers who each bring different priorities to the same conversation.
• Experience mentoring data scientists and analysts, with a genuine interest in helping colleagues develop and in raising the overall quality of the work around you.
• Familiarity with model governance, explainability requirements, and the documentation standards associated with analytics work in a regulated environment.
• Some exposure to working within or alongside a Product organisation, with an understanding of how delivery cycles, engineering prioritisation, and roadmaps are managed in practice.
• Familiarity with the crypto ecosystem, on-chain analytics, blockchain data, or VASP compliance frameworks is a meaningful advantage for this role.
• Experience with regulatory examinations, enforcement responses, or formal model validation in a compliance context. Having worked through one of those processes gives you a perspective on what the work ultimately needs to withstand, and that experience is genuinely valued here.

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

#LI-ONSITE
#LI-WWW

Who We Are

About The Opportunity

Building ML systems for compliance at a crypto exchange is a different kind of problem from most ML engineering work. The data spans on-chain transactions, fiat flows, KYC records, and behavioural signals that very few organisations have in one place. The problems are genuinely unsolved, the stakes are high, and the work has direct bearing on how a global exchange detects and responds to financial crime. For someone who wants their engineering work to matter beyond model accuracy metrics, this is an interesting place to be.

This role sits within a team of data scientists, analytics engineers, and compliance specialists who are building the analytical and AI infrastructure that powers the compliance function. You will work across the full ML lifecycle, from feature pipelines and model development through to deployment and monitoring, with close involvement from the domain experts who understand what the models need to do in practice.

AI-assisted development is how this team works. LLM-assisted coding, automated analytical pipelines, and AI-powered investigation tooling are part of the daily workflow. We are looking for engineers who already operate this way and who can raise the bar for what that looks like in a production compliance environment.

What You’ll Be Doing 

• Design, build, and deploy ML models for compliance use cases including AML transaction monitoring, customer risk rating, KYC/KYB risk scoring, sanctions exposure detection, and SAR analytics, working closely with data scientists on model architecture and with data engineers on pipeline design.
• Own the production infrastructure for compliance ML: feature pipelines, model serving, monitoring, drift detection, and retraining workflows. Models in a compliance context need to be reliable, auditable, and well documented, and you will be responsible for making sure they are.
• Build and maintain internal ML tooling that the broader team depends on: reusable pipeline components, experiment tracking, model registries, and evaluation frameworks that raise the quality and speed of model development across the team.
• Apply AI-assisted coding and automation as a matter of course: using LLM tooling to accelerate development, building automated pipelines that reduce manual analytical work, and integrating LLM-based capabilities into compliance workflows such as SAR narrative assistance, alert summarisation, and investigative triage. The expectation is that you bring this fluency with you, not that you develop it here.
• Work with data scientists to take research-stage models into production, reviewing feature logic, validating pipeline assumptions, and bridging the gap between a notebook and a deployment that a compliance team can rely on.
• Collaborate with compliance and legal stakeholders to ensure models are explainable and documented to the standard required for internal governance and regulatory review.
• Keep a close eye on developments in compliance-relevant ML: graph neural networks for network-based AML detection, anomaly detection approaches for novel typologies, and emerging LLM applications in regulated environments, bringing relevant ideas into the team's work where they hold up to scrutiny.

What We Look For In You 

• 8+ years in ML engineering, data science, or a closely related field, with a strong track record of taking models from prototype to production in environments where reliability and auditability matter. We welcome candidates across seniority levels; scope will be calibrated to your experience.
• Solid Python and experience with ML frameworks alongside hands-on MLOps practice including model deployment, monitoring, and CI/CD pipelines for ML workflows.
• Experience with big data platforms such as Spark, Databricks, Hadoop, or MaxCompute, and comfort designing and optimising both batch and real-time data pipelines that feed production ML systems.
• Demonstrable fluency with AI-assisted development: you use LLM coding tools before, you have built LLM-integrated pipelines or automation workflows in a professional context, and you have a clear, practical view on where these tools genuinely improve engineering output and where they introduce risk.
• A good working knowledge of ML fundamentals across supervised, unsupervised, and anomaly detection methods, and an understanding of how different approaches translate to compliance problem formulations.
• Familiarity with explainability frameworks such as SHAP or LIME, and an appreciation for what model governance and auditability require in a regulated environment.
• Good communication skills and a collaborative working style, with the ability to work effectively alongside data scientists, compliance domain experts, and engineers who each bring a different perspective to the same problem.
• Experience in financial services, fintech, or a crypto exchange, particularly in AML, KYC/KYB, transaction monitoring, or a related compliance domain, is a meaningful advantage.
• Familiarity with the crypto ecosystem, on-chain data, blockchain analytics, or VASP regulatory frameworks is a plus and will give you a head start in understanding the data you will be working with.

Perks & Benefits 

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

#LI-ONSITE
#LI-WWW