Lead Quantitative Scientist (Wagering)

Global Sports Jobs Limited; Hong Kong; On-site; HKD 900,000 - 1,600,000; Full time

Benefits offered by this job

Benefits package

Dynamic working environment

Development opportunities

Job summary

Global Sports Jobs Limited invites a seasoned quantitative analyst to join our Sports Business Division in Hong Kong. You will lead the design, development, deployment, and continuous enhancement of statistical, predictive, and machine learning models to support forecasting, optimization, risk assessment, and performance measurement.

Working with business and technology partners, you will build analytical platforms, automate decision-support tools, and foster a culture of innovation, governance,

Qualifications

• Degree in a quantitative discipline (CS/Data Science/Statistics/Math/Engineering).
• 7+ years in quantitative analytics, modelling, ML or AI.
• Experience developing, validating, deploying predictive models in production.

Responsibilities

• Lead design, development, deployment, and enhancement of statistical, predictive, and ML models for forecasting, optimization, risk, and performance.
• Conduct quantitative research to identify trends and business drivers from large datasets.
• Build and maintain analytical platforms and automated decision-support tools.
• Collaborate with business and technology stakeholders to deliver data-driven solutions.
• Promote best practices in modelling, experimentation, governance, and AI adoption.

Skills

Statistical modelling

Machine learning

Leadership

Problem solving

Communication

Data analysis

Education

Bachelor's or higher in CS/Data Science/Statistics/Math/Engineering

Tools

Python

SQL

R

Job description

About the Role

The role reports to the Senior Trading Manager (Trading and Player Risk) and supports the development and enhancement of trading tools, analytics, and data-driven solutions to improve trading performance and operational efficiency. It sits within the Sports Business Division, which is central to the Club's aspiration to become a globally recognised sports and entertainment brand, with world-class horse racing at its core. The Division focuses on sustainable growth of the Club's sports business, deepening customer engagement, and positioning 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.

Key Responsibilities

• 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.
• Provide production support for deployed models and analytical solutions.
• Undertake other duties as assigned by management.

Required Experience & Qualifications

• A degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• 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.
• 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.
• A self-motivated, results-oriented individual who thrives in a dynamic and fast-paced environment.

Preferred Skills

• A postgraduate qualification (MSc, MPhil, PhD or equivalent) would be an advantage.
• Programming and analytical experience with Python, SQL, R, or related technologies is preferred.
• 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.

Salary

• Competitive salary

Benefits & Perks

• Competitive benefits package
• Dynamic working environment
• Development opportunities