What Jobs are available for Master Data in Hong Kong?

Position Overview

Communicate and coordinate with the country finance teams and other business units to establish an effective application support service on Master Data Governance related tasks. You will maintain master data per established procedures and in compliance with the relevant SOX controls on Finance data and item definitions. You will assist in master data and reporting tool management/analysis and facilitate system migration and enhancements which are related to finance projects.

Job Responsibilities

• Act as the contact point and being the go-to person for all daily operations of master data requests
• Communicate with Customer (RL Internal users) as in terms of requests and possible solutions
• Process finance master data registration e.g. vendor/customer/ledger setups and Item definition with accordance to RL IA standard.
• Analyze database and operation workflows, learn the pattern and maintain alignments
• Monitor closely with data quality and collaborating with businesses / countries to solve common data problems & create business value
• Effectively manage a high volume of requests while maintaining strict controls and data governance standards

Qualification & Requirements

• Degree holder in Finance or related disciplines and have rotation within Finance
• 3 years or above relevant experience
• Strong written and verbal communication skills (English and Chinese)
• Team focused, with the ability to partner effectively and establish working relationships with various teams and levels
• Proficient to advanced computer skills including Microsoft Outlook, Excel
• Use of Power Apps and/or RPA tools is a plus
• Experience with SAP or D365 ERP a plus
• Prior experience in Master Data, Audit, Reporting or Data Governance roles a plus

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

A leading global quantitative trading firm is seeking a Data Integration Specialist to join its data platform team.

Operating across all major asset classes worldwide, the firm applies a scientific, technology-first approach to systematic investing.

As part of this team, you'll play a critical role in building and maintaining the data infrastructure that powers trading and research.

What you'll do:

• Manage and optimise large, diverse datasets (structured and unstructured)
• Design and implement APIs and scalable data stores
• Monitor fetching processes and ensure data quality
• Integrate alternative and market datasets into research and trading workflows
• Support quants and traders with reliable, fast access to data

What we're looking for:

• 2+ years of experience in data engineering, integration, or a related field
• Strong Python skills, plus SQL and relational database knowledge
• Excellent communication skills in English
• Curiosity and drive to learn new technologies
• Ability to work independently within a global team

Desirable:

• Experience with financial/market data and vendor feeds
• Knowledge of equity or derivatives datasets
• Prior experience managing large-scale data pipelines

This is a chance to work at the core of a global trading operation, building the systems that enable some of the most advanced systematic strategies in the world.

Leading industry compensation & relocation on offer

System Analyst, Data Integration, API design

Your New Company

Our client, a leading organisation in life science and healthcare industry, is looking for a Data Integration Architect. Join a work-life balance environment driving innovative data solutions in healthcare sector.

Your New Role

• Developing and maintaining APIs and data transfer workflows for external system integration.
• Designing strategies for high availability, replication, and disaster recovery using modern infrastructure tools.
• Implementing data security measures including access control, encryption, and audit logging.
• Monitoring and optimising system performance to improve efficiency and responsiveness.
• Ensuring data quality through validation, lineage tracking, and consistency checks.
• Collaborating with cross-functional teams to integrate diverse data types and formats.

What You'll Need to Succeed

• Bachelor's degree in Computer Science or related field with 5+ years of experience.
• Expertise in RESTful API design with good security sense
• Strong experience with data transfer protocols (e.g. HTTPS, AWS S3)
• Proficiency in data modelling, database design (PostgreSQL, MySQL, MongoDB), and programming , Java or C++).
• Hands-on experience with Kubernetes

What You Need to Do Now

Click 'apply now' to forward an up-to-date copy of your CV to or call for a confidential discussion.

System Analyst, Data Integration, API design

Your New Company

Our client, a leading organisation in life science and healthcare industry, is looking for a Data Integration Architect. Join a work-life balance environment driving innovative data solutions in healthcare sector.

Your New Role

• Developing and maintaining APIs and data transfer workflows for external system integration.
• Designing strategies for high availability, replication, and disaster recovery using modern infrastructure tools.
• Implementing data security measures including access control, encryption, and audit logging.
• Monitoring and optimising system performance to improve efficiency and responsiveness.
• Ensuring data quality through validation, lineage tracking, and consistency checks.
• Collaborating with cross-functional teams to integrate diverse data types and formats.

What You'll Need to Succeed

• Bachelor's degree in Computer Science or related field with 5+ years of experience.
• Expertise in RESTful API design with good security sense
• Strong experience with data transfer protocols (e.g. HTTPS, AWS S3)
• Proficiency in data modelling, database design (PostgreSQL, MySQL, MongoDB), and programming , Java or C++).
• Hands-on experience with Kubernetes

What You Need to Do Now

Click 'apply now' to forward an up-to-date copy of your CV to or call for a confidential discussion.

Client
: Investment Management

Location
: Hong Kong

Role
: Permanent

We are seeking an
AI/Data Integration System Engineer (Python)
to manage our client's AI projects from start to finish, including quick prototypes and large-scale production.

This role combines hands-on AI development—creating tools that improve trading and risk management—with data engineering to ensure everything runs smoothly.

You will

• Experiment with new AI methods, build efficient data pipelines, and integrate AI insights.
• Collaborate with innovative AI startups to identify valuable technologies and ensure our AI efforts are practical and forward-thinking
• Working closely with our Product Manager, engineers, and investment teams, you will prioritize projects and deliver effective solutions that meet our goals, while maintaining high standards of security and compliance in a regulated environment.

Backend Services & Pipelines

• Develop and maintain Python-based backend services and data processing pipelines.

AI Integration

• Build RAG pipelines for financial and unstructured data and integrate AI systems into workflows.

Infrastructure & Operations

• Monitor Kubernetes-based cloud infrastructure and optimize performance for stable deployments.

Looking for:

• Backend Engineering
  : Strong Python experience in building data pipelines.
• Database Knowledge
  : Familiarity with relational and distributed databases.
• Cloud Experience
  : Ability to manage services on cloud platforms (preferably AWS)
• RAG Workflows
  : Understanding of chunking, embedding, and vector search.
• Security Awareness
  : Knowledge of security frameworks and data protection laws (GDPR, HIPAA, CCPA).

We do not provide relocation assistance for candidates outside of Hong Kong. If you hold a Hong Kong work visa, dependent visa, IANG visa, or HK Top Talent visa, we encourage you to apply, and we will respond to your application.

Location:

Hong Kong, Central and Western District

Additional Locations:

SingaporeSingapore

Team:

Data Management

Job Requisition #: R

Date posted: Sep. 18, 2025