Assistant Manager, Quantitative Developer (Wagering; Data Science & Statistics Focus)

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 Division

The Sports Business Division is central to the Club’s overall aspiration to become a globally recognised sports and entertainment brand, with world-class horse racing at its core. The Division’s overarching focus is to deliver sustainable growth of the Club’s sports business, deepen customer engagement, and contribute to position the Club as a leading global sports and entertainment brand to enable its commitment to social betterment. Its strategy is delivered through three pillars: broadening the fan base and prospecting new customers, growing the sports wagering business, and building the Club’s brand and commercialising its assets.

Job Summary

Reporting to Senior Trading Manager (Trading and Player Risk), this role is a senior developer role to build and maintain a core component, which is used for assessing player risk and bet value instantaneously, in the new generation of betting system for HKJC. This person also requires managing an offshore development team in SZ and working with Vendors team to support their delivery.

The primary focus for this role will be designing and developing an operational intelligence analytic solution based on user requirements, using Solace/Kafka, C#/ Java, Kubernetes, and MongoDB. Enhancing our existing analytics applications. This role would also require the candidate to be able to support our real-time applications and to provide customer insights from our wagering data.

The Job

• Design, develop, integrate, and support the data analytic system using Solace messaging and C#
• Design, enhance, develop and maintain Solace messaging to support the new/changed requirements
• Ensure the quality of the deliverables
• Contribute to the overall design and architecture of messaging framework via Solace
• Work with Vendor delivery teams to support their delivery
• Liaise with another development teams and stakeholders to build a component that fulfils user requirements
• Deploy Machine Learning/ AI methodology to perform data analysis
• Perform real-time data analytics on our new analytic platform
• Ensure compliance with Responsible Gambling Policy and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s business
• Undertake other duties as assigned by supervisor

About You

• Bachelor degree in a quantitative discipline such as Data Science, Statistics, Computer Science, Engineering, or a related field. A Master Degree is preferred
• 8+ years of hands-on development experience, especially on MS platform
• 2+ years of experience on Solace development
• 5 + years on C# development
• Experience in managing offshore team
• Experience in working in large development team
• Experience in working with Vendor delivery team
• C#, Java and/ or C++, ASP.NET, JavaScript
• Knowledge in Python, R Studio, MSSQL server
• Knowledge in Kafka, MongoDB, Kubernetes, Microservice

Apply Now!

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

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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 careers@hkjc.org.hk.

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.