142 Data Professional jobs in Hong Kong
Senior Data Management Professional
Posted today
Job Viewed
Job Description
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
Posted today
Job Viewed
Job Description
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
Senior Data Management Professional
Posted today
Job Viewed
Job Description
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
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Company Financials Industries, Hong Kong
Location
Hong Kong
Business Area
Data
Ref #
Description & RequirementsBloomberg 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
Senior Data Management Professional - Data Engineering - Company Financials Markets, Hong Kong
Posted 3 days ago
Job Viewed
Job Description
Overview
Senior Data Management Professional - Data Engineering - Company Financials Markets, Hong Kong at Bloomberg. 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 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.
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 third-party data providers. You will drive workflow strategies, deliver best-in-class user and technical workflows, and integrate humans in automation pipelines to shape fit-for-purpose Company Financials products. You will work closely with partners across PD&T, including Product Managers, Engineering teams, Bloomberg Intelligence, and other Company Financials cross-functional teams to meet the needs of external and internal clients.
Responsibilities- Develop data-driven strategies, balancing Technical, Product, Financial and Market knowledge; collaborate with engineering and product departments to craft solutions.
- Own reliable and efficient workflows around exchanges and third-party data providers (document acquisition and processing of structured/unstructured content) using programming, machine learning, and/or human-in-the-loop approaches.
- Analyze workflows to identify observability checkpoints to ensure delivery of fit-for-purpose data on a market basis; design and build scalable solutions for monitoring, reporting and alerting across markets.
- Analyze market-specific workstreams to identify opportunities for improvement and consolidation by leveraging Bloomberg’s stacks.
- Communicate and collaborate across team members and with Engineering, Product, and Bloomberg Intelligence.
- Develop interconnected data models enabling cross-dataset analysis and statistical analysis.
- A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM field or equivalent qualifications.
- Minimum 4+ years of experience in financial/fintech services, including exchanges, market data providers or financial technology institutions, and/or data engineering roles (data quality, data modeling, or data architecture).
- Experience with Python in development or production environments.
- Experience implementing high-volume, low-latency ETL pipelines and managing data lifecycle.
- Familiarity with databases, schemas, modeling, and structured/unstructured formats (PDF, HTML, XBRL, JSON, CSV, etc.).
- Strong project management, prioritization, and customer-focused mindset.
- Collaborative skills to work across departments and regions; excellent written and verbal communication in English.
- Demonstrated career growth within an organization.
- Advanced degree/Master’s in Finance or STEM and/or CFA designation (or working toward it).
- Experience with Bloomberg Company Financials products, market/exchange knowledge, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows.
- Familiarity with advanced statistical methods including Machine Learning, AI, and Natural Language Processing.
- Experience designing optimal database structures.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
Referrals increase your chances of interviewing at Bloomberg. Get notified about new Data Management Specialist jobs in Hong Kong, Hong Kong SAR.
#J-18808-LjbffrSenior Data Management Professional - Data Engineering - APAC New Issues, Hong Kong
Posted 2 days ago
Job Viewed
Job Description
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.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Management Professional - Data Engineering - Company Financials Markets, Hong Kong
Posted 7 days ago
Job Viewed
Job Description
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
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Be The First To Know
About the latest Data professional Jobs in Hong Kong !
Senior Data Management Professional - Data Engineering - Company Financials Markets, Hong Kong
Posted 3 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Engineering - Company Financials Markets, Hong Kong at Bloomberg. 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 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.
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 third-party data providers. You will drive workflow strategies, deliver best-in-class user and technical workflows, and integrate humans in automation pipelines to shape fit-for-purpose Company Financials products. You will work closely with partners across PD&T, including Product Managers, Engineering teams, Bloomberg Intelligence, and other Company Financials cross-functional teams to meet the needs of external and internal clients.
Responsibilities- Develop data-driven strategies, balancing Technical, Product, Financial and Market knowledge; collaborate with engineering and product departments to craft solutions.
- Own reliable and efficient workflows around exchanges and third-party data providers (document acquisition and processing of structured/unstructured content) using programming, machine learning, and/or human-in-the-loop approaches.
- Analyze workflows to identify observability checkpoints to ensure delivery of fit-for-purpose data on a market basis; design and build scalable solutions for monitoring, reporting and alerting across markets.
- Analyze market-specific workstreams to identify opportunities for improvement and consolidation by leveraging Bloomberg’s stacks.
- Communicate and collaborate across team members and with Engineering, Product, and Bloomberg Intelligence.
- Develop interconnected data models enabling cross-dataset analysis and statistical analysis.
- A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM field or equivalent qualifications.
- Minimum 4+ years of experience in financial/fintech services, including exchanges, market data providers or financial technology institutions, and/or data engineering roles (data quality, data modeling, or data architecture).
- Experience with Python in development or production environments.
- Experience implementing high-volume, low-latency ETL pipelines and managing data lifecycle.
- Familiarity with databases, schemas, modeling, and structured/unstructured formats (PDF, HTML, XBRL, JSON, CSV, etc.).
- Strong project management, prioritization, and customer-focused mindset.
- Collaborative skills to work across departments and regions; excellent written and verbal communication in English.
- Demonstrated career growth within an organization.
- Advanced degree/Master’s in Finance or STEM and/or CFA designation (or working toward it).
- Experience with Bloomberg Company Financials products, market/exchange knowledge, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows.
- Familiarity with advanced statistical methods including Machine Learning, AI, and Natural Language Processing.
- Experience designing optimal database structures.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
Referrals increase your chances of interviewing at Bloomberg. Get notified about new Data Management Specialist jobs in Hong Kong, Hong Kong SAR.
#J-18808-LjbffrSenior Data Management Professional - Data Engineering - Fixed Income Corporate Actions, Hong Kong
Posted 2 days ago
Job Viewed
Job Description
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.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Data Strategy Analyst
Posted today
Job Viewed
Job Description
Job Responsibilities:
- Analyzing data from various sources (e.g., market research, financial data, financial reports) to identify trends, patterns, and insights relevant to business strategy
- Monitoring trade portfolio positions and market conditions
- Operate new technologies, electronic tools and devices
- Perform appropriate derivatives valuation modelling techniques
- Prepare periodic trade portfolio status reports
- Support performance improvement strategies
- Creating reports, dashboards, and visualizations to communicate findings and recommendations to stakeholders
Job Requirements:
- Bachelor degree majoring Financial Engineering, FinTech, A.I., Risk Management, Quantitative Finance or related disciplines
- 2 years' relevant work experience preferable
- Familiar with Hong Kong & China Connect Stocks and OTC derivatives under ISDA preferable
- Knowledge of databases (SQL, etc.), statistical software (R, Python), and data manipulation techniques
- Good organizational, communication and analytical skills
- Good command of both English and Chinese in writing and speaking, Fluent in Mandarin is a MUST
- Immediate available is preferred
- Fresh graduate will also be considered
Work for Beevest Fortune Asset Management Limited and Beevest Group Companies.