2 686 R D Analyst 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.

工作職責

產品數據分析與挖掘

• 為iGaming產品進行數據分析/挖掘;建立數據儀表板支援研發同優化工作

推廣漏斗優化

• 分析同調校用戶獲取(UA)活動、收入指標同遊戲內行為;提供針對性遊戲洞察報告

實時數據監測

• 每日監控關鍵績效指標(KPIs),偵測異常數據,並附可行建議發出風險警報

數據質量維護

• 同各部門協作確保數據完整性同數據量可靠性

增長機會發掘

• 通過玩家價值分析,挖掘產品增長潛力點

應徵要求

學士或以上學歷,3年+遊戲數據分析經驗(有UA經驗優先)

精通SQL、分析工具(例:Tableau/PowerBI)同數據庫系統、埋點

熱愛遊戲+數據觸覺強;熟悉遊戲機制(prefer有紙牌/電子遊戲相關經驗)

中英文流利(有留學背景更優),with legal working VISA

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

*Purpose of the Job *
The Group Strategy & Development (GSD) team, an integral part of Jebsen Capital, is the in-house strategy, business development, and transaction team of the Jebsen Group. Our focus spans M&A, high-impact strategic initiatives, portfolio company management, and new business development, positioning us as key strategic partners to business leaders across the Group.

As an Analyst, you will work alongside experienced team members on diverse projects that shape and drive the Group's long-term strategy and growth. This role offers substantial influence over our portfolio and strategic direction, along with exposure to an entrepreneurial culture and ample opportunities for professional development.

Responsibilities

• Conduct market and competitive analysis across current and potential business areas to identify strategic opportunities
• Develop, analyze, and evaluate business opportunities, models, and strategic initiatives
• Contribute to strategic planning, performance monitoring, and risk mitigation, ensuring alignment with timelines, budgets, and resource allocation
• Support strategic projects focused on growth and innovation, working with internal and external stakeholders
• Collaborate closely with Group management and Jebsen businesses to support strategic priorities, support investment and transactional analysis (including M&As)

Requirements

• Exceptional business and financial analytical skills, incl. advanced proficiency in Excel & PowerPoint, highly experienced in data analysis and visualization
• Hands-on experience in large-scale projects and M&A within complex organizations, incl. sophisticated operating and financial models
• Strong independent thinking, with the ability to prioritize effectively under tight deadlines while maintaining attention to detail
• Exceptional communication skills (verbal & written), with the ability to simplify complex ideas, and present analysis clearly and concisely
• Demonstrated team player, with proven abilities to work with multiple internal and external stakeholders, including senior management
• Proven ability to manage projects end-to-end, from conceptualization to execution, including workplan design and problem-solving
• Bachelor's degree (all disciplines considered); postgraduate degree preferred
• 2-3 years of experience in strategy consulting, corporate strategy or development, investment banking, or equity research (preferably in sectors relevant to Jebsen's portfolio)
• Exposure working in an international environment; APAC experience in relevant sectors is a plus
• Fluent in English; proficiency in Mandarin highly advantageous

Responsibilities:

• To analyze user requirements, process and gaps analysis on eCommerce. Knowledge on Shopify is preferable.
• Preferably with programming and SQL skills
• Support also Point of Sales (POS) and CRM application
• To work with business users in all change request which includes gathering change requirements, documenting system requirement definition, UAT and deployment.
• To assist Manager on project development from beginning to end to coordinate user requirements, testing and implementation.
• To prepare requirement and functional specifications of user needs for application development, enhancements and testing.
• To provide application support services to business users.

Requirements:

• Candidate must Bachelor's Degree in Computer Science / Information Technology/ Business or equivalent.
• At least 3 years of working experience in IT System Management and Analysis.
• Ability to work on multiples projects simultaneously and working in a team environment.
• Good interpersonal and communication skills with attention to details.

We offer a competitive remuneration package and good prospects to the right candidates. Please send your full resume with the expected salary to us.

*Data collected will be kept confidential and used for recruitment purposes only