Neo4j Jobs in Hong Kong.
All active Neo4j roles based in Hong Kong.
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Capco Hong Kong
Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.
We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.
We are:
- Experts in banking and payments, capital markets and wealth and asset management
- Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
- Committed to growing our business and hiring the best talent to help us get there
- Focus on maintaining our nimble, agile and entrepreneurial culture
ROLE RESPONSIBILITIES
We are currently seeking Senior Data Consultants to support and drive the growth of our Data practice, particularly in our Data Analysis / Data Modelling stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.
This role sits at the intersection of ontology development, data modeling, AI engineering, and banking domain logic, enabling the creation of knowledge graphs, decision structures, and rule systems that support an enterprise‑wide AI pipeline.
KEY RESPONSIBILITIES
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Design and maintain enterprise ontologies and semantic models covering banking processes, regulatory requirements, KYC/risk controls, and operational policies.
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Translate unstructured and semi‑structured documents (policies, forms, regulatory updates) into machine‑readable knowledge graphs and rule structures.
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Define and manage entities, relationships, taxonomies, and semantic rules using RDF/OWL standards to enable inference, versioning, and change detection.
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Build reusable, structured representations of business rules and decision logic (e.g. YAML/JSON) to support automated decisioning and agentic AI workflows.
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Collaborate with data and AI engineers to integrate knowledge models into enterprise‑wide AI reasoning, codification, and change‑management pipelines.
SKILLS & EXPERTISE
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6+ years of data ontology modeling experience within Financial Services
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Hands‑on experience with semantic technologies such as TURTLE (TTL), RDF, OWL, SKOS, and SPARQL.
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Strong conceptual data and ontology modeling skills, including hierarchies, constraints, vocabularies, and rule sets.
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Experience designing and working with knowledge graphs and graph platforms (e.g. Neo4j, GraphDB, Stardog, AWS Neptune).
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Proficiency in YAML for structured rule definition, configuration, and schema modeling.
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Familiarity with LLM‑enabled systems, agentic AI workflows, and retrieval‑augmented generation (RAG); experience with decision modeling, rules engines, Python, or AI‑driven automation is a strong advantage.
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
Ready to apply?
Apply to CapcoWho 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 company’s Anti-Fraud Team leverages advanced blockchain data and AI technologies to protect users and platforms from scams, abuse, and other fraudulent activities. The team develops innovative, scalable solutions that safeguard the integrity of digital ecosystems.
The AI Engineer will be responsible for designing and implementing intelligent algorithms to analyze on-chain data, enabling the detection and prevention of fraudulent activities such as scams and reward/campaign abuse. The role requires expertise in transformer models, graph databases, and AI agents to strengthen detection capabilities. The AI Engineer will also lead the deployment of scalable AI services into production, ensuring reliable and real-time fraud detection.
What You’ll Be Doing
- Develop and optimize machine learning models, with a focus on transformer-based architectures, tailored for fraud detection in blockchain data.
- Interpret and analyze on-chain data to extract meaningful features for building robust anti-fraud algorithms.
- Design and implement graph-based approaches using graph databases and graph query languages to identify complex fraud patterns.
- Build intelligent agents using LangGraph or similar frameworks to automate detection workflows and decision-making processes.
- Deploy and maintain AI services and models in production environments, ensuring scalability, reliability, and high performance.
- Collaborate with data engineers, product managers, and software engineers to integrate AI solutions into production workflows.
- Research and apply state-of-the-art techniques in fraud detection, blockchain analytics, and AI.
- Monitor model and service performance, troubleshoot issues, and implement enhancements in response to evolving fraud tactics.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Proven experience working with on-chain data and a strong understanding of blockchain transaction structures.
- Expertise in transformer models (e.g., BERT, GPT) and their practical applications.
- Experience with graph databases (e.g., Neo4j, Amazon Neptune) and graph query languages (e.g., Cypher, Gremlin).
- Hands-on experience building AI agents, preferably using LangGraph or equivalent frameworks.
- Demonstrated success in deploying AI/ML models and services in production environments (e.g., via REST APIs, microservices, or cloud platforms).
- Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Familiarity with blockchain ecosystems and smart contract mechanics.
- Knowledge of AI techniques in anomaly detection.
- Experience with scalable data pipelines and cloud infrastructure (e.g., AWS, GCP).
- Strong problem-solving abilities and critical thinking skills in fraud detection scenarios.
- Excellent communication skills and ability to work in a collaborative, cross-functional environment.
- 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.
Ready to apply?
Apply to OKX