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Salary
≈ HK$37k – HK$94k per month (Estimated)
Location
In office (Hong Kong)
Seniority
Senior · 5+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
馬會知多少 公司簡介 宗旨與核心價值 行政架構 董事局 管理委員會 行政總裁 應家柏網誌 價值創造模式 賽馬及馬場娛樂 會員制度 有節制體育博彩及獎券 慈善及社區 馬會歷史 重要里程 香港賽馬博物館 獎項及榮譽 新聞及刊物 新聞 馬會刊物《駿步人生》 年報 環境可持續發展 駿步同行140年 香港特區成立25周年 加入香港賽馬會 馬會馬術發展 公司簡介 了解我們的價值創造模式 香港賽馬會 香港賽馬會(馬會)是致力建設更美好社會的世界級馬匹運動及娛樂機構。…

The Hong Kong Jockey Club

Founded in 1884, The Hong Kong Jockey Club (“the Club”) is a world-class racing club that acts continuously for the betterment of our society. The Club has a unique integrated business model, comprising racing and racecourse entertainment, a membership club, responsible sports wagering and lottery, and charities and community contribution. Through this model, the Club generates economic and social value for the community and supports the HKSAR Government in combatting illegal gambling.

The Department

The Membership and Customer Excellence (MCE) Division is responsible for delivering world-class experiences and deepening engagement across all customer segments. The team oversees operations of clubhouses, racecourses, and Off-Course Betting Branches (OCBBs), while enhancing member and owner value propositions and promoting interest in horse ownership and equestrian sports. It leads the Club’s customer experience strategy across digital and physical touchpoints, ensuring consistency, agility, and excellence. The Division also manages data strategy and governance to build a unified view of customers, enabling more personalised and impactful interactions.

The Job

  • Data exploration and analysis: collect, clean, process and explore large datasets from diverse sources to uncover patterns, trends, and anomalies using statistical methods and visualisation tools
  • Data pipeline: support the development and maintenance of scalable data pipelines and ETL processes when needed
  • Feature engineering: identify, create, and select relevant features to improve model performance and interpretability
  • Model development: design, build, train, and validate predictive and prescriptive machine learning models (e.g., regression, classification, clustering, NLP, recommendation systems, etc.) to solve real-world business problems
  • Experimentation and testing: design and implement rigorous tests and experiments to measure impact and iterate on solutions
  • Model deployment and monitoring: collaborate with teammates to productionize models (using tools like Docker, Kubernetes, MLflow, or cloud services) and establish monitoring pipelines to track performance in production
  • Other tasks from the line manager: proactively take on and complete daily/weekly tasks assigned by the line manager

About You

  • Bachelor's degree in a relevant discipline such as Business, Finance, Statistics, Data Science, Mathematics, or Information Technology
  • Minimum of 5-8 years of experience in data analytics, statistical analysis, or related fields
  • Hands-on experience with relational databases and data transformation techniques
  • Experience with data visualisation, quantitative and/or financial modelling tools and techniques

Apply Now!

We offer competitive salary and benefits packages, a dynamic working environment and development opportunities.

Add horsepower to your career today. If you do not meet all of the requirements but still believe you can make a difference, please apply.

Equal Opportunity and Inclusive Hiring

We are an equal opportunity employer and strive to create an inclusive workplace for all. Applicants from diverse backgrounds are welcomed to apply. If you have any special needs or require accommodations during the interview process, please e-mail us via [email protected]. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and job applicants relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.

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