What Jobs are available for Business Analytics in Hong Kong?

Job Description
Some careers have more impact than others.
If you're looking for a career where you can make a real impression, join Hang Seng and discover how valued you'll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, Hang Seng offers opportunities, support and rewards that will take you further.

*Commercial Banking –Chief Operating Officer's Office *
Hang Seng's Commercial Banking (CMB) business provides customized one-stop financial solutions to our corporate customers, from prime small and medium-sized businesses to publicly listed companies.

For customers conducting business locally or around the world, we offer a comprehensive range of services including corporate lending, trade and receivables finance, structured loan, cash management, investment, treasury services, insurance and e-Banking services. As a reliable financial partner, we attend to the specific business needs of our customers and provide efficient tailor-made banking solutions through our relationship managers and dedicated specialists.

We are currently seeking a high caliber professional to join our team as
*Business Analytics Manager for Advanced Analytics & Modeling team.
Principal Responsibilities *

• Develop advanced analytics solutions, mathematical/statistical models and predictive models using latest machine learning, deep learning techniques, and unstructured data mining algorithms
• Design and deliver long term solutions for Business Growth and improved Risk & Control by adapting Big data technologies and leveraging existing analytical and computing techniques
• Formulate analytics roadmap to deliver data analytics on product & customer acquisitions, customer segmentation, digital journeys, channel behaviors and risk control areas
• Ideate innovative ways to streamline processes and achieve higher operating efficiency for the bank through integration of GenAI technologies
• Conduct experiments and proof of concepts to validate business ideas and potential value generation
• Drive cross team initiatives and collaboration across Business Units and wider teams within the organization to enable "best-in-class" solution deployment
• Support the Model Governance requirements as prescribed by HSBC Group Model Risk Policies & Standards for all new and existing models

Requirements

• University degree in Quantitative Analysis, statistics, computing or a related discipline
• Proven experience in data analysis, statistical or Machine Learning (ML) modeling, or data/text mining
• Banking experience and knowledge in commercial or digital banking is preferred
• Hands-on experience with Python(Strong grip on NumPy), R, SQL/ Big Query and Strong Excel with VBA is preferred
• Prior hands-on experience of selecting features, building and tuning classifier models leveraging ML would be a plus
• Knowledge on Tableau and experience in working on GCP/ Azure platform is an added advantage
• Any experience in dealing ML Model Governance is an added advantage
• Good presentation and communication skill to explain analytical results & methodologies to non-technical stakeholders
• A team player with great sense of ownership, responsibility and servicing mindset to ensure efficient and effective customer need identification and delivery of superior customer experience
• Strong commitment in taking new challenges, self-motivation & perseverance, and creativity & innovation
• Proficiency in both English and Chinese
• Professional qualifications such as Enhanced Competency Framework (ECF) and/or Certified Banker (CB) under Hong Kong Institute of Bankers (HKIB) would be an advantage

You'll achieve more when you join Hang Seng Bank Limited.

Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.

Issued by Hang Seng Bank Limited

A Career with Hang Seng Bank

Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.

Some careers have more impact than others.

If you're looking for a career where you can make a real impression, join Hang Seng and discover how valued you'll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, Hang Seng offers opportunities, support and rewards that will take you further.

Commercial Banking –Chief Operating Officer's Office

Hang Seng's Commercial Banking (CMB) business provides customized one-stop financial solutions to our corporate customers, from prime small and medium-sized businesses to publicly listed companies.

For customers conducting business locally or around the world, we offer a comprehensive range of services including corporate lending, trade and receivables finance, structured loan, cash management, investment, treasury services, insurance and e-Banking services.  As a reliable financial partner, we attend to the specific business needs of our customers and provide efficient tailor-made banking solutions through our relationship managers and dedicated specialists.

We are currently seeking a high caliber professional to join our team as Business Analytics Manager for Advanced Analytics & Modeling team.

Principal responsibilities

• Develop advanced analytics solutions, mathematical/statistical models and predictive models using latest machine learning, deep learning techniques, and unstructured data mining algorithms
• Design and deliver long term solutions for Business Growth and improved Risk & Control by adapting Big data technologies and leveraging existing analytical and computing techniques
• Formulate analytics roadmap to deliver data analytics on product & customer acquisitions, customer segmentation, digital journeys, channel behaviors and risk control areas
• Ideate innovative ways to streamline processes and achieve higher operating efficiency for the bank through integration  of GenAI technologies
• Conduct experiments and proof of concepts to validate business ideas and potential value generation
• Drive cross team initiatives and collaboration across Business Units and wider teams within the organization to enable "best-in-class" solution deployment
• Support the Model Governance requirements as prescribed by HSBC Group Model Risk Policies & Standards for all new and existing models

Requirements

• University degree in Quantitative Analysis, statistics, computing or a related discipline
• Proven experience in data analysis, statistical or Machine Learning (ML) modeling, or data/text mining
• Banking experience and knowledge in commercial or digital banking is preferred
• Hands-on experience with Python(Strong grip on NumPy), R, SQL/ Big Query and Strong Excel with VBA is  preferred
• Prior hands-on experience of selecting features, building and tuning classifier models leveraging ML would be a plus
• Knowledge on Tableau and experience in working on GCP/ Azure platform is an added advantage
• Any experience in dealing ML Model Governance is an added advantage
• Good presentation and communication skill to explain analytical results & methodologies to non-technical stakeholders
• A team player with great sense of ownership, responsibility and servicing mindset to ensure efficient and effective customer need identification and delivery of superior customer experience
• Strong commitment in taking new challenges, self-motivation & perseverance, and creativity & innovation
• Proficiency in both English and Chinese
• Professional qualifications such as Enhanced Competency Framework (ECF) and/or Certified Banker (CB) under Hong Kong Institute of Bankers (HKIB) would be an advantage

You'll achieve more when you join Hang Seng Bank Limited.

Issued by Hang Seng Bank Limited

Visit Hang Seng Career Page and sign up with our Talent Community to receive the latest information about our career opportunities in Hang Seng Hong Kong.

All information provided by applicants will be used only for recruitment purposes and will be used strictly in accordance with the Bank's personal data policies, a copy of which may be obtained by the applicant upon request. Unless otherwise instructed in writing by the applicant concerned, applicants may be considered for other suitable positions within the Bank and its related companies. The personal data of unsuccessful job applicants may be retained for a maximum of two years from the date when the job application is rejected and such data may be retained for a longer period if there is a subsisting reason that obliges the Bank to do so, after which the personal data will be destroyed.

We are seeking a highly skilled Business Analytics Assistant Manager to join our Business Intelligence team. In this pivotal role, you will lead the evaluation and analysis of company-wide decision-making processes, as well as assess the performance of both past and ongoing key projects. Reporting directly to the Senior Business Analytics Manager, you will collaborate closely with the senior management team to deliver actionable insights that drive strategic outcomes.

• • Data Analysis & Insights: Leverage advanced analytics techniques to analyze complex business problems and identify opportunities for improvement.
• Presentation & Communication: Distill complex analyses into clear, actionable insights for Lalamove's senior stakeholders. Prepare and deliver high-impact presentations to the C-level executives.
• Ad-Hoc Projects: Handle urgent, dynamic analytics requests from senior management with flexibility and a solution-oriented mindset.

• • Bachelor's degree in Business, Analytics, Data Science, or a related field. Master's degree preferred.
• Extensive experience in business analytics, with at least 1 years in a leadership or managerial role.
• Expertise in handling large datasets using SQL, R, Python and advanced proficiency in analytical tools like Excel or equivalent platforms.e.g., Power BI, Tableau.

• • Exceptional presentation skills, with the ability to convey complex insights in a simple, impactful manner.
• High level of maturity, professionalism, and emotional intelligence.
• Strong problem-solving skills and the ability to think critically under pressure.
• Flexibility to adapt to changing priorities and manage ambiguity.

To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.

This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice:

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

As the leading bank in Asia, Transformation and Data (T&D) supports our management on the implementation of the Group's agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.

Responsibilities:

• Risk Domain Expertise:
  Apply a solid understanding of credit and/or fraud risk management principles, regulatory requirements, and industry best practices to all analytical endeavors.
• Model Development & Implementation:
  Design, develop, validate, and deploy statistical and machine learning models for credit risk assessment, fraud detection, and other related risk analytics applications. This includes data exploration, feature engineering, model selection, training, testing, and performance monitoring.
• Advanced Analytics & Problem Solving:
  Apply quantitative and analytical techniques to complex business problems, providing actionable insights and data-driven recommendations to improve risk management strategies and operational efficiency.
• Machine Learning & Generative AI Exploration:
  Actively explore, experiment with, and potentially develop hands-on solutions utilizing advanced Machine Learning (ML) and/or Generative AI (Gen AI) techniques within the risk domain, identifying opportunities for innovation and enhanced model performance.
• Data Strategy & Technical Proficiency:
  Work with large, complex datasets, demonstrating strong technical skills in programming languages (e.g., Python, Spark, SQL) and data manipulation/modeling tools.
• Collaboration & Communication:
  Collaborate closely with cross-functional teams including risk managers, product owners, engineers, and business stakeholders. Clearly articulate complex analytical concepts, model methodologies, and findings to both technical and non-technical audiences through effective presentations and written reports.

Requirement:

• Experience:
  5-7 years of hands-on professional experience in data science, quantitative analytics, or a related field, with a strong focus on credit risk analytics and/or fraud risk analytics within a financial services or relevant industry.
• Risk Modelling Expertise:
  Solid understanding of risk modelling concepts, statistical modeling, and machine learning algorithms (e.g., logistic regression, decision trees, gradient boosting, neural networks).
• Quantitative & Analytical Acumen:
  Strong quantitative and analytical skills with the ability to translate complex data into clear, actionable insights.
• Technical Proficiency:
• Proficiency in programming languages commonly used for data science (e.g., Python).
• Experience with relevant data science libraries (e.g., scikit-learn, pandas, numpy, TensorFlow, PyTorch).
• Experience with big data platforms (e.g., Hadoop, Spark) is a plus.
• ML/Gen AI Interest:
  Demonstrated hands-on experience or a strong, proven interest in developing solutions using Machine Learning and/or Generative AI in a risk-related context.
• Communication & Presentation Skills:
  Excellent verbal and written communication skills, with the ability to articulate complex technical concepts and findings clearly and concisely to diverse audiences. Proven ability to create and deliver impactful presentations.
• Problem-Solving:
  Exceptional problem-solving capabilities with a structured and logical approach to tackling complex business challenges.
• Education:
  A degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related discipline is generally preferred. We value practical experience and a strong aptitude for learning as much as formal qualifications.

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.

Our client, a prominent insurance group, is seeking a Business & Data Analytics Specialist to support agency operations and strategic initiatives by delivering high-quality analytics solutions, reports, and insights.

Responsibilities:

• Develop and optimize SQL queries for data extraction to support key metrics tracking.
• Deliver regular and ad-hoc reports on daily operations, progress, contests, and monthly targets.
• Perform business analysis and provide insights to improve agent and sales performance.
• Work closely with technology teams, support teams, and business units, ensuring effective communication and understanding of data initiatives.
• Develop dashboards using Power BI.
• Conduct data quality checks and resolve issues related to data consistency or integrity.
• Engage in system enhancement and report automation projects to streamline operations.

Requirements:

• Bachelor's degree in Business Analytics, Actuarial Science, Mathematics, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analytics, business intelligence, or MIS.
• Proven experience in analytics with a strong focus on key performance metrics, customer retention, or lead management.
• Experience working in the insurance industry is a significant plus.
• Proficiency in Python, SQL, and MS Excel, with experience in business intelligence tools such as Power BI, Tableau, or QlikView.
• Familiarity with Databricks and PySpark is a plus.
• Quick learner with robust analytical capabilities and the ability to prioritize tasks under pressure.
• Excellent communication and interpersonal skills, with fluency in both spoken and written English and Chinese.

If this outstanding opportunity sounds like your next career move, please submit your resume in Word format via the Quick Apply Button.

Remuneration package will be highly competitive, commensurate with qualifications and experience. Appointment will be made on a fixed-term contract; fringe benefits include gratuity, leave, medical and dental schemes.

Further information on the post and the University is available at , or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong (Email : : or ).

To apply, please submit an online application. The closing date is 10 October 2025. Applications will receive full consideration and only shortlisted applicants will be contacted. The University's privacy policy is available on the homepage.

City University of Hong Kong is an equal opportunity employer. We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes.

Best Global Universities Rankings #54 (U.S.News & World Report ; World University Rankings #78 (THE 2025); #1 in the World's Most International Universities (THE 2024 & 2025); Young University Rankings #4 (THE 2024); Asia University Rankings #16 (THE 2025) and #10 (QS 2025)

1. Provide overall administrative and clerical support for the daily operation of the Centre;
2. Organise academic events of the Centre, including conferences, seminars, and workshops;
3. Perform budget planning and financial management for the Centre;
4. Coordinate with the Centre's collaborators and visitors, and provide logistic support;
5. Manage the content of the Centre's website and conference websites; develop promotional materials and manage publicity; and
6. Perform any other duties as assigned.

1. 5 passes in HKCEE/HKDSEE, including English Language, Chinese Language and Mathematics, with at least 2 year of relevant experience (preferably with a Bachelor's degree);
2. Good command of written and spoken English and Chinese (including Putonghua);
3. Good organisational and communication skills with a strong sense of responsibility and attention to detail;
4. Experience in organising academic conferences, seminars and workshops;
5. Experience in website management, online promotion and knowledge of graphic design tools (e.g. Photoshop, Canva) would be advantages.

Remuneration package will be highly competitive, commensurate with qualifications and experience. Appointment will be made on a fixed-term contract; fringe benefits include gratuity, leave, medical and dental schemes.

Further information on the post and the University is available at , or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong (Email : : or ).

To apply, please submit an online application. The closing date is 10 October 2025. Applications will receive full consideration and only shortlisted applicants will be contacted. The University's privacy policy is available on the homepage.

City University of Hong Kong is an equal opportunity employer. We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes.

Best Global Universities Rankings #54 ( U.S.News & World Report ; World University Rankings #78 (THE 2025); #1 in the World's Most International Universities (THE 2024 & 2025); Young University Rankings #4 (THE 2024); Asia University Rankings #16 (THE 2025) and #10 (QS 2025)

Data Analytics Business Analyst required for international bank to work in the Data team. This role is a hybrid position requiring someone with solid data technical skills and the ability to be business facing to gather and document requirements.

Responsibilities

• Engage and understand business and stakeholder data needs and proactively propose data driven solutions
• Employ Big Data, ML, AI, and other analytical concepts
• Develop advanced and scalable data visualization / BI reporting framework
• Innovate and build quick prototypes to display value as proof of concepts and then scale to production for business to execute for decision making

Requirements

• Experience building data analytics models
• Experience working in Banking (or similar) environment
• Strong analytical capabilities and learning ability, can quickly adapt to deal with changing requirements
• Able to build insights based on the data to drive business strategies
• Proven experience with hands on data analytics and some exposure to data engineering work

If you are interested in this role and would like to find out more information on the work involved, please apply to the advert for immediate consideration.

You are also welcome to add me on LinkedIn to stay in touch for future opportunities.

New headcount approved within a growing Data team

What you'll do:

Partner and influence multiple C-Level business stakeholders across APAC

Build a 3-year data strategy towards the use of Data Analytics

Anchor the company KPIs on the operation side

Define metrics for each business department

Translate into dashboards and insights solutions

After a few months, focus on cross departments data analysis

Partner closely with a separate Data platform and IT teams

What you bring:

10 to 14 years' experience in Data/Business Analytics or Strategy

Insurance background is a must

Management Consulting background is a plus

Ideally already worked with different operation streams, eg: Underwriting, Claim, Policy, Actuary, back -office like HR, Finance, Legal, Risk

Location: Hong Kong - Permanent role

Salary budget: HKD 1.1 to 1.25 mill basic/ year + 20% bonus

Interview process: 3 rounds

Start date: November/December 2025

Interested? Feel free to reach out and send your CV across -