Lead Quantitative Scientist (Wagering)

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 the Senior Trading Manager (Trading and Player Risk), the role supports the development and enhancement of trading tools, analytics, and data-driven solutions to improve trading performance and operational efficiency.

Key responsibilities include conducting data analysis and statistical research, developing and implementing models and algorithms, providing production support, supporting data engineering initiatives, and contributing to team capability development.

The Job

• Lead the design, development, deployment, and continuous enhancement of statistical, predictive, and machine learning models to support forecasting, optimisation, risk assessment, and performance measurement
• Conduct quantitative research and advanced analytics to identify trends, opportunities, and key business drivers from large and complex datasets
• Develop and maintain analytical platforms, automated decision-support tools, and quantitative frameworks that enhance business effectiveness and operational efficiency
• Collaborate with business and technology stakeholders to translate business challenges into scalable, data-driven solutions and actionable insights
• Promote best practices in statistical modelling, machine learning, experimentation, model governance, and AI adoption
• Evaluate and implement emerging analytical methodologies, technologies, and quantitative techniques to strengthen modelling capabilities and business outcomes
• Support the development and enhancement of data platforms, data pipelines, and analytical infrastructure to enable scalable and reliable analytics solutions
• Drive automation and process improvement initiatives to improve delivery efficiency and analytical capability
• Lead, coach, and develop a team of quantitative professionals, fostering a culture of innovation, collaboration, and continuous learning
• Build strong partnerships across business and technology functions to influence stakeholders and facilitate effective decision-making
• Manage external vendor relationships and consultancy engagements where appropriate
• Prepare management reports, strategic recommendations, and executive-level presentations
• Ensure compliance with applicable governance, risk management, and regulatory requirements
• Undertake other duties as assigned by management

About You

• A degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
• A postgraduate qualification (MSc, MPhil, PhD or equivalent) would be an advantage
• At least 7 years' experience in quantitative analytics, statistical modelling, machine learning, artificial intelligence, or related disciplines
• Proven experience in developing, validating, and deploying predictive models and analytical solutions within production environments
• Demonstrated experience leading and mentoring high-performing teams and developing analytical talent
• Strong programming and analytical skills, preferably in Python, SQL, R, or related technologies
• Strong knowledge of machine learning, quantitative modelling, predictive analytics, optimisation techniques, and decision science methodologies
• Excellent problem-solving, critical-thinking, and analytical capabilities
• Strong communication and stakeholder management skills, with the ability to present complex analytical insights to both technical and non-technical audiences
• Experience authoring technical documentation, white papers, research papers, or management reports is preferred
• Experience in sports analytics, wagering, gaming, financial services, e-commerce, or other highly data-driven industries would be an advantage
• A self-motivated, results-oriented individual who thrives in a dynamic and fast-paced environment

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

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Equal Opportunity and Inclusive Hiring