David James Recruitment Limited
Senior AI Engineer - P2P FinTech Platform (HKD60-80k)
- Compensation
- Not disclosed
- Location
- Central and Western District
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor’s or Master’s degree in Computer Science, Quantitative Finance, Data Science, or a related field.
- Proven experience building and deploying machine learning or deep learning models within banking, asset management, trading, or FinTech environments.
- Strong hands-on proficiency in Python, PyTorch/TensorFlow, SQL, and financial data frameworks.
- Experience with Large Language Models (LLMs), RAG architectures, and NLP for financial document intelligence.
- Familiarity with cloud infrastructure (AWS/GCP/Azure), containerization (Docker, Kubernetes), and MLOps best practices.
- Strong understanding of financial products, market data structures, or regulatory compliance standards in Hong Kong.
Full description
About the RoleWe are seeking an experienced and forward-thinking AI / ML Engineer to design, build, and deploy cutting-edge machine learning and generative AI models tailored for financial technology applications. You will work closely with engineering, data, and business teams to transform financial services—ranging from automated fraud detection and intelligent risk scoring to algorithmic insights and personalized wealth solutions.
Key Responsibilities:
- Architect, develop, and put into production scalable AI/ML models, LLM pipelines, and predictive analytics engines for financial operations.
- Optimize data pipelines for real-time financial data processing, risk modeling, and market behavior analytics.
- Develop agentic workflows and automated decision frameworks to streamline banking workflows and compliance checks.
- Partner with product managers and quantitative stakeholders to translate business goals into high-performing technical solutions.
- Ensure AI systems meet industry standards for data governance, model explainability (XAI), and regulatory compliance (HKMA guidelines).
Requirements & Skills:
- Bachelor’s or Master’s degree in Computer Science, Quantitative Finance, Data Science, or a related field.
- Proven experience building and deploying machine learning or deep learning models within banking, asset management, trading, or FinTech environments.
- Strong hands-on proficiency in Python, PyTorch/TensorFlow, SQL, and financial data frameworks.
- Experience with Large Language Models (LLMs), RAG architectures, and NLP for financial document intelligence.
- Familiarity with cloud infrastructure (AWS/GCP/Azure), containerization (Docker, Kubernetes), and MLOps best practices.
- Strong understanding of financial products, market data structures, or regulatory compliance standards in Hong Kong.
How to Apply:
If you are interested in this opportunity, please click the "Quick Apply" button to submit your updated resume (including your latest and expected salaries).