139 Game Analytics 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

Duration:
 8–10 weeks (September – October 2025)

Commitment:
 Part-time (negotiable)

AOP Capital is seeking a capable and driven intern to support the development of a centralized dashboard system that automates and visualizes key business metrics. This role is ideal for someone with a strong foundation in coding and a keen interest in business intelligence, financial operations, and workflow automation.

Responsibilities

• Assist in designing and implementing dashboards for revenue forecasting, budget tracking, invoice pipelines, and compliance monitoring
• Support data integration from financial systems and contract databases
• Contribute to automation of data workflows using scripts or APIs
• Participate in testing, documentation, and internal feedback sessions

Requirements

• Current university student or recent graduate in Computer Science, Data Science, Finance, or a related field
• Proficiency in at least one programming language (e.g., Python, JavaScript, or C/C++)
• Familiarity with dashboard tools such as Power BI, Tableau, Excel or similar platforms
• Strong analytical and problem-solving skills
• Ability to work independently and collaboratively in a fast-paced environment

What You'll Gain

• Hands-on experience in business intelligence and workflow automation
• Exposure to financial and compliance processes within a multi-disciplinary firm
• A meaningful role in a project that will be deployed across the organization
• Compensation: Unpaid, but includes certificate & referral letter

Application Instructions

Please submit your CV to

. Applications will be reviewed on a rolling basis. The deadline for application is
31 August 2025
.

Job Description:

• Collect, analyze, and document requirements for a new Business Intelligence System (BIS)
• Create workflows, data models, and reporting structures for the BIS that meet business needs
• Develop both functional and technical specifications for the BIS
• Collaborate with vendors on system design, testing, and implementation
• Assist with ETL processes to maintain data quality, accuracy, and consistency in reporting
• Prepare and review documentation for the BIS, including system analysis, design, workflow, user acceptance testing, training materials, and operation procedures

Job Requirement :

• Bachelor Degree in Computer Science or relevant fields
• Solid experience in BI development, System Analysis and ETL process
• Solid experience in system implementation, workflow design and UAT
• Good communications in Cantonese and English

Pinpoint Asia is pleased to announce a new opportunity with our esteemed client, a key financial body central to Hong Kong's financial industry. We are searching for a talented and analytical
Business Intelligence (BI) Developer
to transform complex data into powerful, actionable insights.

This role is perfect for a data professional who is passionate about building end-to-end analytics solutions and wants to work with meaningful datasets. You will be joining a team that plays a crucial part in the organization's data-driven decision-making processes.

As the BI Developer, you will be instrumental in designing and deploying the reports, dashboards, and data processes that support critical regulatory and operational functions, making a tangible impact on the organization's mission.

What You'll Be Doing

Your primary focus will be on designing, developing, and maintaining the full spectrum of BI solutions.

• Develop End-to-End BI Solutions:
  You will take charge of designing and deploying cutting-edge Business Intelligence solutions, including creating interactive reports and dashboards with Power BI, building robust ETL processes using SSIS, and developing Proof of Concepts (PoCs) to showcase new capabilities.
• Engage with Stakeholders:
  You will collaborate closely with internal IT teams and business stakeholders to gather requirements, understand their data challenges, and translate complex needs into effective and intuitive analytics solutions.
• Ensure Documentation Integrity:
  Create and maintain comprehensive technical documentation for all BI reports, data models, and ETL workflows, ensuring clarity, accuracy, and maintainability for the team.

What You'll Bring

We are looking for a seasoned BI professional with a strong technical foundation and a collaborative mindset.

Experience & Qualifications:

• A university degree or professional qualification in Information Technology, Computer Science, or a related discipline.
• A minimum of
  3 years
  of substantial, hands-on experience in a Business Intelligence, Data Engineering, or Data Analytics role.
• Familiarity with the financial services industry or regulatory environments would be a distinct advantage.

Your BI & Data Skillset:

• Microsoft BI Stack:
  Proven expertise in developing solutions with
  Microsoft Power BI, SSIS, SSRS, and SSAS.
• Advanced Excel:
  Strong skills in
  Excel Power Query
  and
  Power Pivot
  for complex data manipulation and analysis.
• ETL & Database:
  Solid experience designing ETL processes and working with tools like
  C#/.NET
  . You must be proficient in writing and optimizing complex
  SQL queries, stored procedures, and functions
  .
• Data Modelling:
  A strong grasp of data modelling principles, particularly
  dimensional data modelling concepts
  .
• Database Versatility:
  Familiarity with
  Oracle PL/SQL
  development and performance tuning is highly desirable.
• Broad Technical Knowledge (Bonus):
  Exposure to other development stacks such as
  Java, Spring Boot, or ReactJS
  would be a plus.

Personal Attributes:

• An active team player with strong analytical, interpersonal, and communication skills.
• Excellent command of written and spoken
  English and Chinese
  .
• A strong sense of responsibility, meticulous attention to detail, and impeccable integrity.