51 Tableau Development jobs in Hong Kong

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

Responsibility:

• Be one of responsible team members working under the umbrella of Financial Crime Compliance department
• Responsible for building and maintaining the group's compliance database, continuously expanding the data scope, and optimizing the data usage experience
• Assist in the development and maintenance of anti-money laundering assessment models, and participate in model re-examination,parameter tuning, rating calculations, etc
• Responsible for the analysis of anti-money laundering monitoring data and support for Bank of China (Hong Kong) and regional anti-money laundering
• Assist in following up the BOC Hong Kong and regional anti-money laundering application system projects, including writing requirements, testing and acceptance, etc
• Responsible for data management within the department, including data governance, data quality and data security

• Bachelor degree or above in computer or information technology related subjects preferred
• 3-5 years of banking data management, analysis and application experience, preferably with experience in building large data warehouses
• Have strong logical thinking, problem analysis and problem solving abilities, strong data sensitivity and insight
• Proficient in SQL and proficient in data analysis programming languages, such as Python and R
• Have experience in requirements writing, project management and good cross-unit collaboration and communication skills.
• Applicants with Hong Kong Institute of Bankers' Anti-Money Laundering Professional Qualification (such as AAMLP, CAMLP) or other internationally recognized professional qualifications will be given priority but not a must
• Applicants with more experience would be considered as Senior Manager

FINANCE OFFICE

Accountant (Data Analysis) (Financial Management Section) (Ref

Duties

The appointee will be required to:

(a) support the departmental budget allocation of academic units of the University;

(b) design, build up and maintain database;

(c) compile, interpret, and analyse mass data;

(d) conduct data manipulation for scenario study;

(e) develop, enhance and execute tailor-made funding model in conjunction with the resource allocation exercise;

(f) project/estimate and present strategical information for supporting decision making by the management;

(g) perform general accounting duties including financial accounting, management accounting and budgeting; and

(h) perform any other duties as assigned by the Director of Finance or his delegate.

Qualifications

Applicants should have:

(a) a recognised degree, preferably in Data Science, Mathematics, Computer Science, Analytics or a related discipline;

(b) at least two years' post-qualification experience, preferably in database design and data analytics or other related fields;

(c) proficiency in Microsoft Excel, Microsoft Access and Python;

(d) basic knowledge of mathematical concepts and possess experience in handling large databases, including extracting, evaluating and manipulating data for reporting and analytical purposes by using query tools; and

(e) good communication and interpersonal skills, with high level of self-motivation and ability to work independently.

Shortlisted candidates will be invited to sit for a written test.

Applicants who have responded to the previous advertisement need not re-apply.

Conditions of Service

A highly competitive remuneration package will be offered.  Initial appointment will be on a fixed-term gratuity-bearing contract.  Re-engagement thereafter is subject to mutual agreement.

Application

Please submit an application through PolyU's career website ).  Consideration of applications will commence on 12 September 2025 until the position is filled.  The University's Personal Information Collection Statement for recruitment can be found at

PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect.  To learn more about the University's "Statement on Equal Opportunities, Diversity, and Inclusion", please visit our website at .

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Overview

Officer to Manager (Regtech Project Management and Data Analysis), Administration and Systems at Industrial and Commercial Bank of China (Asia) Limited.

Industrial and Commercial Bank of China (Asia) Limited ("ICBC (Asia)") is the flagship of overseas business of Industrial and Commercial Bank of China Limited ("ICBC") – currently the largest commercial bank in China, and it is one of the domestic systemically important banks (D-SIBs) in Hong Kong. ICBC (Asia) has 52 retail outlets (including 27 "Elite Club" Wealth Management Centres) in Hong Kong and engages in commercial banking, investment banking and other financial services, including securities, insurance and funds, with a focus on commercial and retail banking as well as global market business. Chinese Mercantile Bank and ICBC Asset Management (Global) Company Limited are wholly owned subsidiaries of ICBC (Asia).

• Lead the Regtech project related to financial crime compliance.
• Oversee the FCC systems and data models related to AML, anti-fraud and sanctions, proposing optimization suggestions to improve the efficiency and effectiveness of FCC system.
• Use data science analysis to work with advanced Regtech tools for anti-money laundering (AML), anti-fraud and sanction control measures.
• Lead the management of FCC data. Keep improving data strategies, ensure CDD/KYC data is accurate and high-quality.
• Train staff on how to use FCC systems, tools, and understand data.
• Handle ad-hoc project/task assigned by Team Head.

• University degree in computer science, math, statistics or finance.
• At least 2 years of experience in IT project management or data analysis.
• AML certifications (e.g., CAMS or AAMLP) are preferable.
• Good presentation and writing skills in both Chinese and English.
• Strong sense of teamwork and responsibility.

Interested parties, please click "Apply Now" for application. Personal data collected will be used for recruitment purpose only.

• Entry level

• Full-time

• Finance and Information Technology

• Banking

Referrals increase your chances of interviewing at Industrial and Commercial Bank of China by 2x

Officer to Manager (Regtech Project Management and Data Analysis), Administration and Systems at Industrial and Commercial Bank of China (Asia) Limited.

Industrial and Commercial Bank of China (Asia) Limited ("ICBC (Asia)") is the flagship of overseas business of Industrial and Commercial Bank of China Limited ("ICBC") – currently the largest commercial bank in China, and it is one of the domestic systemically important banks (D-SIBs) in Hong Kong. ICBC (Asia) has 52 retail outlets (including 27 "Elite Club" Wealth Management Centres) in Hong Kong and engages in commercial banking, investment banking and other financial services, including securities, insurance and funds, with a focus on commercial and retail banking as well as global market business. Chinese Mercantile Bank and ICBC Asset Management (Global) Company Limited are wholly owned subsidiaries of ICBC (Asia).

• Lead the Regtech project related to financial crime compliance.
• Oversee the FCC systems and data models related to AML, anti-fraud and sanctions, proposing optimization suggestions to improve the efficiency and effectiveness of FCC system.
• Use data science analysis to work with advanced Regtech tools for anti-money laundering (AML), anti-fraud and sanction control measures.
• Lead the management of FCC data. Keep improving data strategies, ensure CDD/KYC data is accurate and high-quality.
• Train staff on how to use FCC systems, tools, and understand data.
• Handle ad-hoc project/task assigned by Team Head.

• University degree in computer science, math, statistics or finance.
• At least 2 years of experience in IT project management or data analysis.
• AML certifications (e.g., CAMS or AAMLP) are preferable.
• Good presentation and writing skills in both Chinese and English.
• Strong sense of teamwork and responsibility.

Interested parties, please click "Apply Now" for application. Personal data collected will be used for recruitment purpose only.

• Entry level

• Full-time

• Finance and Information Technology

• Banking

Referrals increase your chances of interviewing at Industrial and Commercial Bank of China by 2x

Key Responsibilities

1. In-Depth Analysis and Design: Conduct thorough analysis of source and target system data models, business logic, and discrepancies. Participate in designing technically feasible, high-performance data migration and transformation solutions.

2. High-Performance Data Development:

· Write highly efficient, stable, and maintainable SQL and PL/SQL scripts (stored procedures, functions, packages) for data extraction, cleansing, and loading.

· Develop custom data migration tools, validation programs, and data processing middleware using Java to address complex logic and high-performance requirements.

1. Large-Volume Data Processing and Optimization: Design and implement migration strategies for TB-scale data, resolve performance bottlenecks during migration, and perform necessary SQL tuning and system optimization.

2. End-to-End Quality Assurance: Develop and execute data validation, comparison, and rollback plans to ensure 100% accuracy and integrity of migrated data. Create detailed technical documentation.

3. Migration Execution and Operations: Participate in migration rehearsals and actual cutover activities. Provide rapid problem diagnosis and solutions to ensure a smooth transition in the production environment.

4. Technical Collaboration: Work closely with database administrators (DBAs), backend development teams, and infrastructure teams to optimize migration environments and resources.

Qualifications

1. Education and Experience: Bachelor's degree in Computer Science or a related field. 3+ years of experience in data migration, data integration, or ETL development, with at least one end-to-end data migration project involvement.

2. Oracle Database Development Skills:

· Proficiency in Oracle database with extensive management and development experience.

· Exceptional SQL and PL/SQL scripting and optimization capabilities.

· Deep understanding of Oracle architecture, indexing, partitioning, parallel processing, and other performance optimization techniques.

1. Java Development Skills:

· Strong command of Java and object-oriented design, with excellent coding practices.

· Hands-on project experience using Java for data processing, tool development, or application integration (e.g., Spring Batch, JDBC, or custom tools).

1. Large-Volume Data Experience: Proven experience in performance optimization and issue resolution for datasets exceeding hundreds of millions of records. Proficiency in partitioning, batch processing, parallelization, and other technical methods.

2. Problem-Solving Skills: Strong logical analysis and problem-solving abilities, with the capability to independently research and resolve technical challenges during migration.

3. Familiarity with Linux OS: Ability to write Shell scripts for automation tasks.

Soft Skills and Qualities

1. Extreme Responsibility and Rigor: Demonstrate a meticulous approach to data accuracy and quality, with thoroughness and attention to detail.

2. Resilience Under Pressure: Ability to thrive in high-pressure environments such as system launch windows, remaining calm and effectively addressing unexpected issues.

3. Proactivity and Drive: Take initiative to identify potential problems and risks, and drive solutions. Exhibit a passion for technology and a willingness to learn.

4. Communication and Collaboration: Excellent communication skills, with the ability to clearly articulate technical solutions, risks, and progress to both technical and non-technical stakeholders.