80 Analytics Management jobs in Hong Kong

Join to apply for the AVP/Senior Associate/Associate, Specialist, Data/Business Analytics (Campaign Management, Consumer Banking) role at DBS Bank

2 weeks ago Be among the first 25 applicants

Join to apply for the AVP/Senior Associate/Associate, Specialist, Data/Business Analytics (Campaign Management, Consumer Banking) role at DBS Bank

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Business Function
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.

Business Function
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

• Collaborate closely with cross-functional teams, including business stakeholders as well as local and regional Data Chapter analytics professionals to identify and execute data analytics requirement
• Deliver data-driven initiatives in alignment with MtJ (Managing through journey) goals and objectives
• Execute contextual marketing campaigns, provide insights, and improve program effectiveness
• Ensure campaign presentment and functionality meet diverse needs of various business units within the banking organization
• Work with data owners on processes to enable and ensure data quality, evangelizing the importance of good data hygiene
• Monitor business performance on timely manner and prepare relevant MIS to Consumer Banking leadership team with insights and analytical findings to drive DDOM
• Partner with key stakeholders in Hong Kong and Singapore to optimize data discovery, ETL, storage, enrichment, and usage
• Streamline and automate internal processes to ensure efficient and effective data generation and analytics
• Undertake ad-hoc tasks as assigned, participate in system enhancement UAT, and contribute to assigned projects
  

• University graduate majoring in mathematics, statistics, business analytics, information system, computer science, or other related discipline
• Minimum 5 years of data analytics experience with strong programming skill in SQL and Python
• Possess adequate CRM experience to analyze business requirements, recommend viable solutions, align requirements with operational context and translate them into executable program coding
• Strong understanding of the Consumer Banking industry and operations is an advantage
• Basic knowledge of mobile app architecture, user interface design principles and software development technologies
• Knowledge in building dashboards by using Qlik Sense or any equivalent tools would be an advantage
• Strong ability to analyze and interpret business and financial data and have sound presentation skills
• Adept at problem-solving, possess excellent interpersonal skills, and have experience in project management
• Detail-oriented and well-organized
• Less experienced candidate will also be considered
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Administrative
• Industries Banking, Financial Services, and Investment Banking

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Responsibilities:

• Analyze customer and distribution channel data to identify growth opportunities (acquisition, cross-selling, retention, etc.).
• Partner with business teams to define analytics needs and deliver insights for decision-making.
• Support marketing campaigns with data-driven targeting, opportunity sizing, and lead generation.
• Measure campaign effectiveness and suggest improvements; explore new techniques for automation and optimization.
• Build and maintain dashboards to track campaign performance and customer/agent behavior.
• Work with IT to ensure secure, scalable, and integrated data solutions.
• Explore structured/unstructured data to enhance channel analytics and behavioral insights.
• Develop machine learning models (supervised/unsupervised) to improve analytics effectiveness.

• Bachelor's degree holder
• 8-10 years in data analytics, with 6-8 years in insurance sector.
• Hands-on experience in large-scale analytics projects.
• Proficient in Python & SQL; knowledge of machine learning is a plus.
• Experience in segmentation, predictive modeling, and analytics strategy.
• Skilled in stakeholder management, problem-solving, and driving results.
• Ability to lead projects independently with strong execution focus.
• Excellent presentation and communication skills (English & Chinese).

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

1 week ago Be among the first 25 applicants

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• A bachelor’s degree in a relevant field such as finance, insurance, risk management, data science, statistics, or engineering. A master’s degree or professional certifications (e.g., CPCU, AIC, or other relevant qualifications) may be advantageous.
• At least 3 years’ experience in claims processing, management, or technical roles within the insurance industry, particularly in life and health claims.
• Familiarity with fraudulent and wasteful activities within claims, including experience in detection, investigation, and prevention.
• Proficiency in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and experience with data visualization software (e.g., Tableau, Power BI).
• Strong analytical and problem-solving abilities to interpret complex data sets and derive actionable insights.
• Understanding of industry regulations, compliance standards, and best practices related to claims management.
• Relevant certifications in data analytics or insurance (e.g., Certified Analytics Professional, Associate in Claims) can enhance credibility.
• Strong communication, leadership, and interpersonal skills to effectively manage teams and interact with various stakeholders.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Analytics Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

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Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

1 week ago Be among the first 25 applicants

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• A bachelor’s degree in a relevant field such as finance, insurance, risk management, data science, statistics, or engineering. A master’s degree or professional certifications (e.g., CPCU, AIC, or other relevant qualifications) may be advantageous.
• At least 3 years’ experience in claims processing, management, or technical roles within the insurance industry, particularly in life and health claims.
• Familiarity with fraudulent and wasteful activities within claims, including experience in detection, investigation, and prevention.
• Proficiency in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and experience with data visualization software (e.g., Tableau, Power BI).
• Strong analytical and problem-solving abilities to interpret complex data sets and derive actionable insights.
• Understanding of industry regulations, compliance standards, and best practices related to claims management.
• Relevant certifications in data analytics or insurance (e.g., Certified Analytics Professional, Associate in Claims) can enhance credibility.
• Strong communication, leadership, and interpersonal skills to effectively manage teams and interact with various stakeholders.
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Analytics Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 2 months ago

Sha Tin District, Hong Kong SAR 5 days ago

Wan Chai District, Hong Kong SAR 2 months ago

Sha Tin District, Hong Kong SAR 2 weeks ago

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Direct message the job poster from The Bank of East Asia, Limited (BEA)

Responsibilities

• Manage Credit RWA analytics, system calculation, regulatory reporting including Pillar 3 disclosure, under Basel III final reform.
• Responsible for data analytics, risk management reporting and ad-hoc enquiries from regulators.
• Participate in system development projects and co-ordinate change request through the cycles, including providing user requirements, user acceptance test, and specifications updates.
• Liaise with vendors or consultants when taking part in ad-hoc risk projects or regulatory projects.
• Enhance and carry out internal control procedures on data governance and profiling, to meet with BCBS239 requirements.

Requirements

• University graduate in Statistics, Risk Management, Finance, Quantitative Analysis or related discipline
• Proficiency in Excel VBA, SQL and/or related analytic tools such as SAS
• Knowledge of Basel III and other regulatory reporting requirement is an advantage
• Good communication, analytical and problem solving skills
• A mature and good team player who can work independently and under pressure
• Proficiency in both spoken and written English and Chinese

Please apply online via the BEA Careers website at or by clicking the "Apply Now" button below. Kindly note that if you are a new user, you have to first create your User Profile before you can apply.

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.

• Seniority level Associate

• Employment type Full-time

• Job function Accounting/Auditing, Finance, and Analyst
• Industries Banking and Financial Services

Referrals increase your chances of interviewing at The Bank of East Asia, Limited (BEA) by 2x

Get notified about new Risk Manager jobs in Hong Kong, Hong Kong SAR .

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Direct message the job poster from The Bank of East Asia, Limited (BEA)

Responsibilities

• Manage Credit RWA analytics, system calculation, regulatory reporting including Pillar 3 disclosure, under Basel III final reform.
• Responsible for data analytics, risk management reporting and ad-hoc enquiries from regulators.
• Participate in system development projects and co-ordinate change request through the cycles, including providing user requirements, user acceptance test, and specifications updates.
• Liaise with vendors or consultants when taking part in ad-hoc risk projects or regulatory projects.
• Enhance and carry out internal control procedures on data governance and profiling, to meet with BCBS239 requirements.

Requirements

• University graduate in Statistics, Risk Management, Finance, Quantitative Analysis or related discipline
• Proficiency in Excel VBA, SQL and/or related analytic tools such as SAS
• Knowledge of Basel III and other regulatory reporting requirement is an advantage
• Good communication, analytical and problem solving skills
• A mature and good team player who can work independently and under pressure
• Proficiency in both spoken and written English and Chinese

Please apply online via the BEA Careers website at or by clicking the "Apply Now" button below. Kindly note that if you are a new user, you have to first create your User Profile before you can apply.

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.

• Seniority level Associate

• Employment type Full-time

• Job function Accounting/Auditing, Finance, and Analyst
• Industries Banking and Financial Services

Referrals increase your chances of interviewing at The Bank of East Asia, Limited (BEA) by 2x

Get notified about new Risk Manager jobs in Hong Kong, Hong Kong SAR .

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Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

1 day ago Be among the first 25 applicants

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Responsibilities

• Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
• Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
• Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
• Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
• Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
• Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
• Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
• Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
  
  
  

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
• Hands-on experience in machine learning & advanced analytics
• Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
• Proven experience in driving analytics strategy and business results
• Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
• Knowledge in data infrastructure and experience in vendor management
• Solid experience in Python & SQL is a must
• Experience in PowerBI is a plus
• Strong presentation, communication, interpersonal skills and a good team player
• Proficiency in English and Chinese (both Cantonese and Mandarin）
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Hong Kong by 2x

Wan Chai District, Hong Kong SAR 2 months ago

Central & Western District, Hong Kong SAR 2 months ago

Hong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago

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Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

1 day ago Be among the first 25 applicants

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Responsibilities

• Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
• Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
• Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
• Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
• Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
• Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
• Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
• Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
  

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
• Hands-on experience in machine learning & advanced analytics
• Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
• Proven experience in driving analytics strategy and business results
• Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
• Knowledge in data infrastructure and experience in vendor management
• Solid experience in Python & SQL is a must
• Experience in PowerBI is a plus
• Strong presentation, communication, interpersonal skills and a good team player
• Proficiency in English and Chinese (both Cantonese and Mandarin）
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Hong Kong by 2x

Wan Chai District, Hong Kong SAR 2 months ago

Central & Western District, Hong Kong SAR 2 months ago

Hong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago

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Join to apply for the (Assistant/Deputy) Financial Management Manager (Management Reporting and Analytics) role at Bank of China (Hong Kong) .

• Perform financial analysis and prepare management reports for the management and the Board.
• Gather financial data from various segments and regions for comparison and market analysis.
• Undertake budget and performance monitoring duties of the business in Southeast Asia.
• Perform other duties as assigned by supervisors.

• University degree in Accounting or Finance.
• At least 1 year of experience in banking or financial industry.
• Professional qualification in CFA/CPA is an advantage.
• Solid knowledge in financial analysis and report writing skills in English and Chinese.
• Self-initiative, creative, able to work independently and under pressure.
• Good interpersonal and communication skills.
• Proficient in MS Word, Excel, PowerPoint; experience with Hyperion, VBA, Power Query is a plus.
• Candidates with more experience may be considered for the Financial Management Manager position.

We offer a competitive remuneration package and comprehensive benefits including medical and life insurance, and allowances. Interested candidates are encouraged to apply online via our website . Data collected is solely for recruitment purposes. If you do not hear within 8 weeks, your application may be considered unsuccessful, and your data will be destroyed within 12 months.

• Employment type: Full-time
• Job function: Finance
• Industry: Banking, Capital Markets, Financial Services