419 Team Data jobs in Hong Kong

Join to apply for the Senior / Data Analyst (Data Management - External Data) role at Bank of China (Hong Kong) .

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• Handle, integrate, and govern external data procurement requests.
• Lead and support external data management activities in the external data acquisition process.
• Support vendor management (service quality and performance monitoring).
• Document external data sources, usage, and other information to support management reporting.
• Support other data management tasks as assigned.

Requirements:

• Degree or above in finance, computer science, IT management, statistics, business administration, project management, or relevant disciplines.
• Minimum 3 years' working experience, preferably in data management, particularly in external data.
• Experience in external data procurement would be desirable.
• Excellent communication skills and team spirit.
• Can-do attitude and attention to detail.
• Familiar with Microsoft Office (including Chinese typing).

Candidates with less experience will be considered as Associate Data Analyst.

• Mid-Senior level

• Full-time

• Information Technology

• Banking

This job is active and accepting applications.

Join to apply for the Data Engineer – Global Data Platform role at Jain Global

3 days ago Be among the first 25 applicants

• Implement customer-centric data solutions: Collaborate with customers to understand their specific needs, and translate them into robust, scalable data solutions that satisfy the pace demanded by hedge fund operations. Typically some combination of onboarding new financial data sets, implementing data pipelines & external connectors as necessary, along with automated tests for each component as early in the development process as possible.
• Implement automated Data Quality checks at every step of the development & data life cycle to ensure the accuracy, reliability, quality and robustness of data with very high confidence. Automate monitoring and alerting to enable the DataOps team to proactively resolve any issues 24/7 with minimal business impact.
• Integrate with vendor & platform systems: Manage data feed integration with external vendor sources with a focus on fast onboarding and rigorous data validation, as well as with internal 3rd party trade and position keeping & risk systems, and the firm’s central Data Platform.
• Contribute to platform development: Identify recurring patterns in customer needs, propose and implement configurable frameworks. Ensure sufficient process telemetry data allows observation of potential bottlenecks or issues to ensure high availability, robustness and performance.
• Role-model continuous improvement: Maintain high standards of technical excellence, ownership and customer care. Mentor junior engineers and help hire new talent. Streamline workflows, improve data quality, and efficiency to support faster insights and improved decision-making by our customers.

• BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 5+ years financial industry experience in Front Office Tech / Quant organizations or Data Platform Technology, preferably with some time spent in a hedge fund.
• Technical Skills:
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and corresponding data storage and processing services, e.g. AWS RDS (Postgres), S3, MSK (Kafka).
  • Strong proficiency in Linux environments.
  • Advanced SQL skills and experience with modern data storage & querying technologies (e.g. Snowflake, Redshift, BigQuery), and file formats (e.g. Parquet and Iceberg).
  • Proficiency programming in Python and familiarity with Pandas data frames. Experience of high throughput & low latency programming in languages such as Python, C#, F#, C++ or Java is a plus.
  • Demonstrated experience in test automation to maintain high standards and a fast rate of change with confidence, preferably have used DBT.
  • Familiarity with monitoring production systems using modern observability solutions (e.g. Grafana/Prometheus, DataDog, ELK).
  • Hands-on experience with data pipeline orchestration tools, e.g. Airflow, and data download mechanisms, e.g. sFTP, various vendor APIs.
  • Proficiency in integrating with 3rd-party data providers and vendor APIs typical in hedge funds would be ideal.
  • Financial Data: Familiarity with at least some market and reference data, ideally across a broad range of asset classes, hedge fund data workflows (sourcing, processing, analysis), real-time data needs, and financial compliance considerations (e.g. licensing, access control).
  • Soft Skills: Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a collaborative mindset, ability to produce in an agile environment.

• Not Applicable

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Jain Global by 2x

Wan Chai District, Hong Kong SAR 1 month ago

• Senior Data Engineer - US Tech Firm - Up to HKD$120k
• Data Engineer - Leading Finance Institution
• Python Senior Software Engineer (Financial Data)
• Financial Services - Data Engineer- HK$50-80k per month
• Python Software Engineer | Top-Tier Hedge Fund in Hong Kong
• Trading Infrastructure Software Engineer (Python)
• Programmer / Software Engineer (AI, Python) (Telecom)
• Data Science Lead | HKD 75K - HKD 90K per month | Inhouse
• Financial Services - C# & Python Software Engineer - HKD 1.2M - 1.3M

Job Description - Data/ Business Analyst, Data Chapter (23000FE)

Job Description

Data/ Business Analyst, Data Chapter - ( 23000FE )

Business Function

Group Strategy and Planning (GSP)supports our management on the implementation of the Group’s strategic agenda, including working with the businesses and functions to drive strategic initiatives across geographies. Data Chapter is committed to building a data driven organization and maximising the key data capabilities to transform how we do business.

Responsibilities

• Work with stakeholders to conduct business intelligence and advanced analytics, aiming to discover and fulfill customers’ needs proactively, and to identify opportunities and deliver innovative solutions to support business growth
• Create visualizations, prepare presentation and MIS reports with actionable insights to business stakeholders, lead discussion on analytics and interpretation of results to drive decision making
• Leverage new data points and data models to bring in new data insight from different angles
• Continuously explore cutting edge solution in Data Science and take initiatives in evaluating new methodologies and user cases
• Support business analytics initiatives and projects

Requirements

• Degree in Banking, Finance, Business, Mathematics, Statistics, Computer Science or related disciplines
• Relevant experience in data/business analytics
• Conversant with PC application including MS Excel, VBA, Powerpoint and Word
• Strong programming skill in SAS/Python or any statistical software
• Knowledge in building dashboard by using Qlikview/Qliksense or other data visualisation tools
• Self-driven with strong analytical and problem solving skills
• A customer centric attitude, with good communication and interpersonal skills

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.

Join to apply for the Data Engineer – Global Data Platform role at Jain Global

3 days ago Be among the first 25 applicants

• Implement customer-centric data solutions: Collaborate with customers to understand their specific needs, and translate them into robust, scalable data solutions that satisfy the pace demanded by hedge fund operations. Typically some combination of onboarding new financial data sets, implementing data pipelines & external connectors as necessary, along with automated tests for each component as early in the development process as possible.
• Implement automated Data Quality checks at every step of the development & data life cycle to ensure the accuracy, reliability, quality and robustness of data with very high confidence. Automate monitoring and alerting to enable the DataOps team to proactively resolve any issues 24/7 with minimal business impact.
• Integrate with vendor & platform systems: Manage data feed integration with external vendor sources with a focus on fast onboarding and rigorous data validation, as well as with internal 3rd party trade and position keeping & risk systems, and the firm’s central Data Platform.
• Contribute to platform development: Identify recurring patterns in customer needs, propose and implement configurable frameworks. Ensure sufficient process telemetry data allows observation of potential bottlenecks or issues to ensure high availability, robustness and performance.
• Role-model continuous improvement: Maintain high standards of technical excellence, ownership and customer care. Mentor junior engineers and help hire new talent. Streamline workflows, improve data quality, and efficiency to support faster insights and improved decision-making by our customers.

• BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 5+ years financial industry experience in Front Office Tech / Quant organizations or Data Platform Technology, preferably with some time spent in a hedge fund.
• Technical Skills:
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and corresponding data storage and processing services, e.g. AWS RDS (Postgres), S3, MSK (Kafka).
  • Strong proficiency in Linux environments.
  • Advanced SQL skills and experience with modern data storage & querying technologies (e.g. Snowflake, Redshift, BigQuery), and file formats (e.g. Parquet and Iceberg).
  • Proficiency programming in Python and familiarity with Pandas data frames. Experience of high throughput & low latency programming in languages such as Python, C#, F#, C++ or Java is a plus.
  • Demonstrated experience in test automation to maintain high standards and a fast rate of change with confidence, preferably have used DBT.
  • Familiarity with monitoring production systems using modern observability solutions (e.g. Grafana/Prometheus, DataDog, ELK).
  • Hands-on experience with data pipeline orchestration tools, e.g. Airflow, and data download mechanisms, e.g. sFTP, various vendor APIs.
  • Proficiency in integrating with 3rd-party data providers and vendor APIs typical in hedge funds would be ideal.
  • Financial Data: Familiarity with at least some market and reference data, ideally across a broad range of asset classes, hedge fund data workflows (sourcing, processing, analysis), real-time data needs, and financial compliance considerations (e.g. licensing, access control).
  • Soft Skills: Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a collaborative mindset, ability to produce in an agile environment.

• Not Applicable

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Jain Global by 2x

Wan Chai District, Hong Kong SAR 1 month ago

• Senior Data Engineer - US Tech Firm - Up to HKD$120k
• Data Engineer - Leading Finance Institution
• Python Senior Software Engineer (Financial Data)
• Financial Services - Data Engineer- HK$50-80k per month
• Python Software Engineer | Top-Tier Hedge Fund in Hong Kong
• Trading Infrastructure Software Engineer (Python)
• Programmer / Software Engineer (AI, Python) (Telecom)
• Data Science Lead | HKD 75K - HKD 90K per month | Inhouse
• Financial Services - C# & Python Software Engineer - HKD 1.2M - 1.3M

Job Description - Data/ Business Analyst, Data Chapter (23000FE)

Job Description

Data/ Business Analyst, Data Chapter - ( 23000FE )

Business Function

Group Strategy and Planning (GSP)supports our management on the implementation of the Group’s strategic agenda, including working with the businesses and functions to drive strategic initiatives across geographies. Data Chapter is committed to building a data driven organization and maximising the key data capabilities to transform how we do business.

Responsibilities

• Work with stakeholders to conduct business intelligence and advanced analytics, aiming to discover and fulfill customers’ needs proactively, and to identify opportunities and deliver innovative solutions to support business growth
• Create visualizations, prepare presentation and MIS reports with actionable insights to business stakeholders, lead discussion on analytics and interpretation of results to drive decision making
• Leverage new data points and data models to bring in new data insight from different angles
• Continuously explore cutting edge solution in Data Science and take initiatives in evaluating new methodologies and user cases
• Support business analytics initiatives and projects

Requirements

• Degree in Banking, Finance, Business, Mathematics, Statistics, Computer Science or related disciplines
• Relevant experience in data/business analytics
• Conversant with PC application including MS Excel, VBA, Powerpoint and Word
• Strong programming skill in SAS/Python or any statistical software
• Knowledge in building dashboard by using Qlikview/Qliksense or other data visualisation tools
• Self-driven with strong analytical and problem solving skills
• A customer centric attitude, with good communication and interpersonal skills

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.

Direct message the job poster from Midas Analytics

Midas Analytics is Asia’s leading market intelligence platform, built for businesses navigating the region’s fastest-growing economies. We transform fragmented local-market data into real-time, AI-powered insights, integrating market intelligence, financial data, and proprietary analytics. Headquartered in Hong Kong, Midas delivers unmatched visibility into markets, industries, and investment opportunities. Our platform turns complexity into clarity, empowering global teams to make smarter, faster decisions. Learn more at

Role Description

This is a full-time, on-site role for a Data Engineer located in Hong Kong SAR. The Data Engineer will be responsible for designing, developing, and maintaining data pipelines, data models, and data warehouses. The individual will also perform web scraping at scale, ETL processes, analyze large datasets, and generate actionable insights. Daily tasks will include collaborating with cross-functional teams to ensure data quality and supporting data-driven decision-making across the organization.

Qualifications

• Skills in Data Engineering and Data Modeling
• Experience in webscraping
• Experience with Extract Transform Load (ETL) processes and Data Warehousing
• Expertise in Data Analytics
• Proficiency in SQL, Python, or other programming languages relevant to data engineering
• Strong problem-solving skills and attention to detail
• Ability to work collaboratively in a team environment
• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience in the market intelligence or finance industry is a plus

For this position, we are looking for a motivated endless fighter capable of executing tasks with no major supervision. The candidate should be always equipped with an innate 'can do' attitude.

The ideal candidate should not only possess programming skills, but also require organisation and conceptualisation skills along with a strong detail-orientation.

If you are passionate about Data and AI, if you are looking for a fast-paced environment which can give you real valuable skills for a vertical career growth, if you are willing to put energy and efforts into your passion and learn as much as you can from a young, fun a dynamic startup, then you have come to the right place.

Send us your CV via email let's have a chat!

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Midas Analytics by 2x

Kwun Tong District, Hong Kong SAR 8 months ago

Hong Kong SAR $28,000.00-$5,500.00 1 month ago

Hong Kong SAR $1 ,000.00- 24,000.00 5 days ago

Hong Kong SAR 4,800.00- 7,200.00 3 weeks ago

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Join to apply for the Data Engineer role at Sun Hung Kai Properties Limited .

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• Bachelor's degree in Computer Science, Information Systems or related disciplines
• Minimum 3 years’ experience as a Data Engineer, ETL Developer, or System Integration Specialist
• Strong proficiency in SQL and hands-on experience with relational databases, data warehousing, and development projects
• Proven ability to design, build, and optimize data pipelines, architectures, and datasets
• Familiarity with cloud platforms, big data technologies, and programming languages such as Python or Java
• Experience in REST API design and development
• Working knowledge of message queuing systems and stream processing frameworks
• Demonstrated success in collaborating with cross-functional teams in fast-paced, dynamic environments

Responsibilities

• Design and maintain scalable data pipelines for extracting, transforming, and loading data from diverse sources using big data technologies
• Manage large, complex datasets that fulfill both functional and non-functional business requirements
• Drive process improvements by identifying opportunities to automate manual workflows and enhance data delivery performance
• Collaborate with business units to gather data and business requirements, translating them into effective data-driven solutions
• Implement and support data platform architecture, including AI-powered applications, to deliver data services across systems and to business users
• Establish and enforce data governance models to ensure high standards of data quality, consistency, and compliance

(Candidates with less experience will be considered for Assistant Data Engineer.)

• Associate

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Sun Hung Kai Properties Limited by 2x

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At HKT, we believe the power of data relying in the hands of those who know how to transform them into tangible business values. We’re seeking an experienced Data Scientist to work together with our business units to identify hidden opportunities and to create incremental business values. More experienced candidates will also be considered as Senior Data Scientist.

Our ideal team member will have the mathematical, statistical and computer science expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. We will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data scientists and data engineers, and “slice and dice” data using your own methods, creating new visions for the future.

This role will support our digital healthtech and insurtech platform, and you will help to reshape and revolutionise the way people access and build sustainable health, wellness and protection.

Position overview

You are reporting to the Lead Data Scientist. You support the end to end project with your team member data scientist: from understanding the business requirements to the delivery.

Working on complex data science/analysis projects, you will also work on new PoC and R&D projects to anticipate the business needs. It will be your responsibility to support guiding of the stakeholders on the right data transformation approach, creating the models and using the tools you have. You also collaborate with product design and engineering to develop an understanding of needs, and enable smarter business processes—and implement analytics for meaningful insights

Key responsibilities

• Lead data scientist team members in the development of new insights, advanced modeling techniques, and data science capabilities. Execute analytical experiments methodically to help solve various problems and make a true impact across business units and external partners.
• Establish actionable KPIs and success metrics and ensures that there is timely and accurate reporting. You will leverages data science tools and techniques in analyzing large data-sets that will enable the development of custom models and algorithms to uncover insights, trends, and patterns in the data, Devise and utilize algorithms and models to mine big data sets, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Work closely with the IT team for the purpose of facilitating easy and effective access to computing and data resources within the business. Support Lead Data Scientist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets. Partner with other non-technical departments within the business assisting them in understanding how data science can benefit them and improve their effectiveness and performance. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Skills and Qualifications

• A master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position.
• 3+ years of working experience in a data science capacity. No preference for the background sector but a first experience in Healthtech/Insurtech/Retail/FMCG/Property/Telecom is a plus. You will also have a demonstrated and successful experience leading a data science team through the implementation of new data science models, tools, and techniques that lead to improvement if business performance due to a continued culture of informed decision-making. Strong technical understanding of Martech, personalization and marketing automation is preferred.
• Extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval. A suitable candidate will show comfort analyzing and manipulating large, complex, high-dimensional data from numerous sources. Proficiency with data mining, mathematics, and statistical analysis. Advanced pattern recognition and predictive modeling experience
• Excellent communication skills in order to be able to tailor and convey technical messages in a clear and understandable manner, leading to business-wide improvement of data management, informed decision making, and ultimate improvement in performance.
• First experience of Deep Learning projects: NLP/computer vision, neural network. Coding abilities at least one of the following languages: Python and R
• Experience working with distributed computing tools such as Hadoop as well as experience working in a cloud environment such as AWS, Azure or GCP.

About HKT

HKT (SEHK: 6823) is Hong Kong's premier telecommunications service provider and a leading innovator. Its fixed-line, broadband, mobile communication and media entertainment services offer a unique quadruple-play experience. HKT meets the needs of the Hong Kong public and local and international businesses with a wide range of services including local telephony, local data and broadband, international telecommunications, mobile, media entertainment, enterprise solutions and other telecommunications businesses such as customer premises equipment sales, outsourcing, consulting and contact centers.

All personal data provided by candidates will be used for recruitment purposes only by HKT Services Limited in accordance with HKT's Privacy Statement, which is available on our website. Unless otherwise instructed in writing, candidates may be considered for other suitable positions within the Group (being, HKT Limited, PCCW Limited and their respective subsidiaries, affiliates and associated companies). Personal data of unsuccessful candidates will normally be destroyed 24 months after rejection of the candidate's application. If you have any questions regarding your personal data held by HKT Services Limited HKT’s Privacy Statement, please feel free to contact our Privacy Compliance Officer by writing to or GPO Box 9896, Hong Kong.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Consulting
• Industries Telecommunications, Technology, Information and Media, and Financial Services

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Get notified about new Data Scientist jobs in Hong Kong, Hong Kong SAR .

Wan Chai District, Hong Kong SAR 1 week ago

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Join to apply for the Data Engineer role at Jane Street

Join to apply for the Data Engineer role at Jane Street

Direct message the job poster from Jane Street

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

• Top-notch programming skills in any language (Python a plus)
• Experience with using SQL and relational databases
• Experience with generating data visualizations
• Meticulous approach to data quality and validation
• Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems
• Fluency in English is required

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Information Technology, and Finance

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Get notified about new Data Engineer jobs in Hong Kong, Hong Kong SAR .

Wan Chai District, Hong Kong SAR 1 week ago

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

Central & Western District, Hong Kong SAR 5 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.