What Jobs are available for Data Professional in Hong Kong?

PRINCIPAL ACCOUNTABILITIES:

· Develop, implement, and maintain data security policies and procedures to protect sensitive and classified information according to regulatory requirements and Head Office (Mainland) standard / framework.

· Conduct data classification and implement relevant control to mitigate data security risk

· Prepare risk assessments and vulnerability analyses to identify potential threats to data security

· Collaborate with IT, business and other stakeholders to ensure data security policies and procedures are implemented

· Ensure compliance with local and mainland data protection regulations and standards.

· Monitor and report on data security incidents, breaches, and compliance violations.

· Lead training and awareness programs to educate employees on data security best practices.

EXPERIENCE / KNOWLEDGE REQUIRED:

· Bachelor's degree in Information Security, Computer Science, or a related field.

· Minimum of 5 years of experience in data security, risk management, or related roles, preferably in the banking or financial services industry.

· Strong understanding of data security frameworks and knowledge of data protection regulations (e.g. HKMA, PDPO, mainland《数据安全法》etc).

· Proven experience in developing and implementing data security strategies and policies.

· Excellent analytical and problem-solving skill and strong communication and leadership abilities.

· Proficient in Chinese and Mandarin

PRINCIPAL ACCOUNTABILITIES:

· Develop, implement, and maintain data security policies and procedures to protect sensitive and classified information according to regulatory requirements and Head Office (Mainland) standard / framework.

· Conduct data classification and implement relevant control to mitigate data security risk

· Prepare risk assessments and vulnerability analyses to identify potential threats to data security

· Collaborate with IT, business and other stakeholders to ensure data security policies and procedures are implemented

· Ensure compliance with local and mainland data protection regulations and standards.

· Monitor and report on data security incidents, breaches, and compliance violations.

· Lead training and awareness programs to educate employees on data security best practices.

EXPERIENCE / KNOWLEDGE REQUIRED:

· Bachelor's degree in Information Security, Computer Science, or a related field.

· Minimum of 5 years of experience in data security, risk management, or related roles, preferably in the banking or financial services industry.

· Strong understanding of data security frameworks and knowledge of data protection regulations (e.g. HKMA, PDPO, mainland《数据安全法》etc).

· Proven experience in developing and implementing data security strategies and policies.

· Excellent analytical and problem-solving skill and strong communication and leadership abilities.

· Proficient in Chinese and Mandarin

Applicants who are not contacted within 8 weeks may consider their applications unsuccessful and their personal data will be retained by the bank for a period up to two years.

All information provided by applicants will be used for recruitment purposes only and will be used strictly in accordance with the bank's personal data policies, a copy of which will be provided upon request.

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients – providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.

Our Team
As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.

The Role
The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship.

We'll Trust You To

• Define and execute a comprehensive strategy to achieve best-in-class data quality for ESG data, with a strong emphasis on as-reported disclosures and point-in-time accuracy
• Conduct data profiling and apply statistical analysis to measure, monitor, and enhance data quality across key ESG data sets and products
• Collaborate with domain experts in Data, as well as colleagues in Product, Enterprise and Engineering, on implementation scalable, data-driven quality solutions
• Lead initiatives to improve data quality across global datasets, incorporating regional assurance frameworks with a focus on APAC market nuances and local reporting standards
• Apply a subject matter expertise in as-reported ESG data structures, ensuring accuracy across point-in-time series, disclosure timelines, and evolving regulatory requirements
• Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
• Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of best practices more broadly
• Keep up with the industry trends, standards, and innovation in the data quality domain and ESG data standards to continuously refine strategies and maintain competitive edge
• Work in a fast-paced, multifaceted, and collaborative setting

You'll Need To Have

• Excellent written and verbal language proficiency in English and Korean as you will cover Korean content
• A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field—or equivalent professional qualifications
• 4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
• Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
• Strong knowledge of data management principles, including data modeling, ETL processes, and workflow design
• Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
• Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
• Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
• Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
• A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
• Demonstrated continuous career growth within an organisation

We'd Love To See

• Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
• Experience profiling datasets and coming up with necessary requirements
• Good understanding of data modeling concepts
• Experience manipulating and wrangling large datasets
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are

Senior Data Management Professional - Data Engineering - APAC New Issues, Hong Kong

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our Team
Our Corporate Bonds Primary Markets team is responsible for the timely and accurate publication of new bonds being brought to market. Responsibilities also include developing automated pipelines for ingestion and publication of corporate bonds data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our team works closely with internal consumers of our data including the News, Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering.

What's the role?

We are looking for a Senior Data Engineer with an outstanding combination of technical, interpersonal and communication skills, which they can apply to spot gaps and find improvement opportunities to our product's technologies. You will be seen as a technical leader across the organization. We are looking for a highly motivated individual who is passionate about building automated workflows and pipelines to support the transformation of the corporate bonds dataset. You will apply your problem-solving skills to handle the pipelines, automation processes and workflows that feed our products. In addition to that, you will be tasked with measuring and articulating the impact of your initiatives using business intelligence tools. You will be encouraged to lead projects globally, collaborate with partners across the business, and mentor junior members of the group who are looking to develop technically.

We'll Trust You To

• Understand financial markets and client needs to drive the corporate bonds data product strategy
• Design, develop and maintain automated solutions via microservices for data ingestion, standardization, and ETL pipelining
• Collaborate with a wide variety of external partners and internal departments including Engineering, Product and Sales on strategic product development and execution
• Define, measure and manage the impact of your work using statistics and data visualization tools
• Build quality data workflows to verify and validate third party data
• Communicate with impact, ensuring relevant information is articulated in a meaningful way to wide and varied audiences

You'll Need To Have

• Excellent proficiency and fluency in English and Mandarin
• Bachelor's degree or degree-equivalent qualifications
• Demonstrated experience with corporate bonds and wider financial markets landscape
• At least 4 years of experience working with data in the financial industry
• 3 years of programming experience in a development and/or production environment using tools such as Python for data management and ETL pipelines development
• Demonstrated experienced using scripting languages to build pre-processing services that can be integrated in our data pipelines
• Strong critical-thinking and problem-solving skills, particularly to modify and improve processes and workflows
• Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management
• Ability to work independently as well as in a multi-functional team environment
• Mindset to challenge status quo and proven ability to influence others and lead change
• Understanding of data quality standard methodologies to improve the value of the dataset
• Proven track record of effective project management and a customer focused mentality
• Demonstrated continuous career growth within an organization

We'd Love To See

• Familiarity with fixed income markets
• Familiarity with data science and machine learning techniques to help with automation
• Agile/Scrum project management experience
• A proven grasp of data management principles and technologies to perform requirements analysis, quality assurance and control, as well as data modelling
• Experience using data analysis and visualization tools such as QlikSense, Superset or Tableau

If This Sounds Like You
Apply if you think we're a good match.

Senior Data Management Professional - Data Engineering - Fixed Income Corporate Actions, Hong Kong

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team
Our Fixed Income Corporate Actions Data team looks after the lifecycle of corporate securities focusing on transaction level data and their impact on reference data and bond calculations. Corporate Actions can have significant implications for bondholders and often impact across the wider market, making timely and accurate interpretation and capture of corporate actions data key to meet client needs. With the increased adoption of new technologies and industry standards, there is a growing need for automation and standardization of corporate actions, uncovering an opportunity for technical innovation for our team.

What's the role?

As a Senior Data Engineer on our team, you will play a critical role in designing, implementing, and maintaining robust data infrastructure to support Bloomberg's fixed income corporate action datasets. You'll be responsible for building scalable, automated data pipelines and workflows that ensure the seamless flow of data from diverse sources into our systems. You will collaborate closely with Engineering teams, domain experts, and business stakeholders to understand data requirements, identify gaps, and drive improvements across our technology stack. Your work will directly impact the quality and efficiency of our products, and you'll be expected to measure and articulate this impact using business intelligence tools. We're looking for a highly motivated technical leader who is passionate about solving complex data problems, transforming datasets, and mentoring junior team members. You'll be encouraged to lead global initiatives, foster cross-functional collaboration, and bring innovative, resourceful solutions to the table.

We'll Trust You To

• Design, develop, and maintain scalable data pipelines and processes that interact with our corporate action database
• Apply modern technologies to solve problems and optimize workflows in areas such as data quality, acquisition, operations, reliability, and content—working closely with domain experts and technical account managers.
• Collaborate with internal teams (Engineering, Product, Sales) and external partners to drive strategic product development and execution.
• Use statistical analysis and data visualization to generate insights on operations and projects, and communicate findings effectively.
• Incorporate machine learning and statistical techniques to detect anomalies and drive quality improvement in areas such as accuracy, completeness, consistency and reliability
• Communicate with impact, ensuring sophisticated information is articulated in a meaningful way to wide and varied audiences including senior executives
• Maintain comprehensive documentation outlining the purpose, design, and technical specifications of services developed by the team.

You'll Need To Have

• Strong written and verbal communication skills in both English and Chinese (Mandarin or Cantonese)
• At least 4 years of experience working with data in the financial industry
• 3 years of programming experience in a development and/or production environment, with proficiency using tools such as Python for data management and ETL pipeline development.
• Experience using scripting languages to build preprocessing services integrated into data workflows.
• Excellent critical thinking and problem-solving abilities, especially in improving and automating data processes.
• Ability to work independently and thrive in a cross-functional team environment.
• A proactive mindset with a willingness to challenge the status quo, influence others, and lead change.
• Solid understanding of data quality best practices to enhance dataset value.
• Proven experience in project management and a strong customer-focused approach.
• A track record of continuous career growth and increasing responsibility within an organization.

We'd Love To See

• Familiarity with fixed income markets and financial datasets.
• Experience with data science and machine learning techniques.
• Background in Agile/Scrum project management methodologies.
• A proven grasp of data management principles and technologies to perform requirements analysis, quality assurance and control, as well as data modelling
• Experience using data analysis and visualization tools such as QlikSense, Superset or Tableau

If This Sounds Like You
Apply if you think we're a good match.

Senior Data Management Professional - Company Financials Industries, Hong Kong

Location

Hong Kong

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team

The Company Financials Industries team provides clients with fast and accurate market-moving data—covering broker estimates, financial filings, and other critical datasets that help them assess financial performance. We leverage financial modeling, industry expertise, data management, and technical skills to curate key metrics and extract insights from our data. Our goal is to deliver a best-in-class financial analysis and modeling product while continuously expanding and enhancing our offering.

What's the Role?

As a Senior Data Management Professional on the Company Financials Industries team, you will oversee the data management and analysis of a portfolio of companies. Your work will involve building financial models, designing technical solutions, analyzing company data, defining key metrics, and researching alternative datasets to enhance Bloomberg's financial data products. Your insights will help ensure our products remain best-in-class and fit-for-purpose for our clients.

Sectors Hiring: Consumer, Health Care, Energy, Real Estate, Technology, Financials, Industrials

We'll Trust You To:

• Own the data coverage, quality, and curation of 15-20 companies across Bloomberg Terminal, financial models, and enterprise data products
• Perform data profiling and exploratory data analysis to identify and prioritize areas of investments in our data offering
• Research and productionize advanced data quality solutions by leveraging subject matter expertise and technical acumen
• Use Python to query, analyze, and automate workflows
• Analyze industry trends and market-moving events to ensure our datasets reflect relevant, high-value information for clients
• Troubleshoot and resolve data quality escalations, collaborating with clients and stakeholders to ensure datasets are fit-for-purpose
• Develop financial models and apply data-driven insights to enhance product offerings
• Apply subject matter expertise to support the development of AI/ML automation initiatives
• Build interconnected data models across Bloomberg's product offering
• Manage client and internal stakeholder relationships
• Mentor and train junior team members to strengthen team capabilities

You'll Need To Have:

• Bachelor's degree in Finance, Accounting, Statistics, Business, STEM, or a related field or equivalent experience
• 4+ years of relevant experience in financial data analysis, equity research, financial modeling, or a related field
• Proficiency with both English and other Asian languages (Korean or Mandarin)
• Strong coding proficiency in Python or R for data analysis and workflow optimization
• Advanced experience working with Pandas (Python) or dplyr (R)
• Deep understanding of financial statements, financial modeling, and industry analysis
• Competency in applied statistics, with emphasis on descriptive statistics and statistical inference
• Basic knowledge of relational data modelling with a focus on conceptual data model and data normalization
• Strong problem-solving skills and ability to thrive in a fast-paced environment
• Excellent communication skills, with the ability to effectively translate business needs into actionable data solutions
• Proven ability to support and engage with stakeholders to ensure product success

We'd Love to See:

• Master's degree or CFA designation (or in progress)
• Sector-specific expertise and understanding of key industry drivers (buy-side or sell-side equity research experience a plus)
• Exposure to data management principles, business intelligence tools or quality assurance and control
• Foundational knowledge of core LLM concepts
• Experience using Bloomberg Terminal and Company Financials products

If This Sounds Like You:

Apply today We'll reach out to discuss the next steps

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll Trust You To

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll Need To Have

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience working with Python in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We Would Love To See

• Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If This Sounds Like You
Apply today We'll reach out to discuss the next steps

Company Description

Oakham Partners is a bespoke recruitment services provider located in Hong Kong. We specialize in providing recruitment solutions for clients ranging from large corporations to SMEs and start-ups. Our expertise and industry knowledge allow us to find the best candidates for our clients' specific needs. We recruit specialists across various professional disciplines and cater to the local recruitment market by focusing on new and emerging areas. Our team of consultants are experts in their respective fields, with many having industry experience within the disciplines they recruit for. Whether it's permanent, contract, or interim professionals, we provide recruitment solutions worldwide.

Job Summary

We are seeking a highly experienced and strategic Data Engineering Lead to oversee the data engineering team and drive the implementation of advanced data and AI initiatives. The ideal candidate will have a strong background in data engineering, with significant exposure to data science and analytics, and a minimum of seven years of experience. This role requires a leader who can provide vision and technical guidance, foster a high-performing team culture, and effectively communicate complex data concepts to both technical and business stakeholders.

Key Responsibilities

Strategy & Leadership

• Provide overall strategic guidance for the data engineering roadmap, ensuring alignment with organizational objectives.
• Lead and mentor a data team, fostering a collaborative and high-performing culture to achieve strategic goals.
• Identify and present the business benefits and value propositions of potential data and AI use cases to stakeholders.
• Review and enhance the data team's operational model in conjunction with stakeholders to optimize efficiency and impact.

Technical Architecture & Development

• Build a scalable data framework using modern Azure technologies, including Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric, to support downstream applications.
• Refactor redundant and low-efficiency code from legacy systems or vendors, including data pipelines, PySpark, SQL, and shell scripts.
• Oversee the implementation of AI solutions, to provide data analysis self-service capabilities.
• Ensure the data architecture incorporates core data management competencies, including data governance, data quality, and data security.

Team Coordination & Communication

• Coordinate and oversee the offshore team in Mainland China, ensuring project goals and timelines are met.
• Facilitate effective communication and collaboration between onshore and offshore teams and with other departments.
• Act as a technical liaison, translating complex data concepts for business stakeholders and guiding the team to deliver user-centric solutions.

Qualifications

• Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) or equivalent experience.
• A minimum of 7+ Years of experience in data engineering, with demonstrated exposure to data science and analytics principles.
• Proven experience providing strategic direction and implementing complex data and AI solutions.
• Hands-on expertise with Azure data services, including Azure Data Factory, Databricks (PySpark), Azure Synapse, and Microsoft Fabric.
• Experience with other relevant technologies, such as SQL Server Integration Services (SSIS), MongoDB, and modern orchestration tools.
• Strong analytical, problem-solving, and leadership skills, with the ability to manage complex projects and mentor junior team members.
• Exceptional communication and stakeholder management skills, with the ability to influence and build consensus across different groups.