(Senior) Quantitative Scientist (Wagering)

Global Sports Jobs Limited; Hong Kong; Sur place; HKD 800 000 - 1 400 000; Plein temps

Avantages offerts par ce poste

Benefits package

Dynamic working environment

Development opportunities

Résumé du poste

The Hong Kong Jockey Club is seeking a senior data scientist to own end-to-end development and deployment of probabilistic and ML models for real-time pricing, player risk and wagering products.

You will design experiments, perform large-scale data analysis, and build adaptive models that respond to betting patterns and market shifts. Strong ML framework experience and English/Chinese communication are essential.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, Physics, Economics or related field.
• ≥5 years' experience in modelling/analysis or statistics using statistical, AI or OR techniques.
• Strong command of statistical analysis, ML and predictive modelling with production delivery.
• Proficiency in Python and/or R, plus SQL.
• Experience with modern ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow) and model deployment/monitoring.
• Experience wrangling data from multiple sources in large on-premise environments.
• Ability to translate complex data into clear business insights for technical and non-technical stakeholders.
• Interest in sports (horse racing, football) and gaming; knowledge of gaming industry.
• Excellent written (English and Chinese) and verbal communication skills.
• Commitment to integrity, responsible gambling and data privacy.

Responsabilités

• Own the end-to-end development, productionisation and monitoring of probabilistic and ML models powering real-time pricing, risk and wagering products.
• Design and run experiments (A/B tests, backtests) to evaluate new products and pricing strategies and quantify impact.
• Perform exploratory data analysis and statistical modelling on large-scale wagering data to uncover trends and insights.
• Build predictive models that adapt to customer betting patterns and market movements in real time.
• Apply Generative AI / large language models where value is added.
• Partner with data engineers to build reliable data pipelines and embed MLOps across the model lifecycle.
• Collaborate with trading, product and business stakeholders to translate problems into data science solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Handle wagering and customer data in line with data governance and Responsible Gambling requirements.

Connaissances

Statistical analysis

Machine learning

Python

SQL

A/B testing

Data wrangling

Communication

Multilingual English/Chinese

Formation

Bachelor's degree in a quantitative field

Master's degree or PhD (preferred)

Outils

scikit-learn

XGBoost

PyTorch

TensorFlow

Description du poste

About the Role

Reporting to the Senior Trading Manager (Trading and Player Risk), the role owns the end-to-end delivery of quantitative, statistical and machine learning models that power the Club's sports wagering business, from exploration and feature engineering through to production deployment. It turns large-scale wagering data into real-time pricing, player risk and customer insights, building probabilistic models that adapt to customer betting patterns and market movements. The primary focus is to drive measurable business impact by expanding the portfolio of betting products and markets and continuously improving the commercial performance of existing models, within the Club's Responsible Gambling framework. The role 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, and delivers its strategy through broadening the fan base, growing the sports wagering business, and building the Club's brand and commercialising its assets.

Key Responsibilities

• Own the end-to-end development, productionisation and monitoring of probabilistic and machine learning models that power real-time pricing, player risk assessment and wagering products.
• Design and run experiments (e.g. A/B tests, backtests) to evaluate new products, pricing strategies and model changes, and quantify their business impact.
• Perform exploratory data analysis and statistical modelling on large-scale wagering data to uncover trends, patterns and actionable insights.
• Build and refine predictive models that adapt to customer betting patterns and market movements in real time, optimising for both accuracy and computational efficiency.
• Apply Generative AI / large language models and modern machine learning techniques where they add business value.
• Partner with data engineers to build reliable data pipelines and embed MLOps practices (version control, automated checks, monitoring, retraining) across the model lifecycle.
• Collaborate with trading, product and business stakeholders to translate business problems into data science solutions.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Handle wagering and customer data in line with the Club's data governance, privacy and Responsible Gambling requirements, and comply with all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club's business.
• Undertake other duties as assigned by supervisor.

Required Experience & Qualifications

• Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, Physics, Economics or a related field.
• A minimum of 5 years' experience in a modelling, analysis or statistics role, using statistical, Artificial Intelligence and Operational Research techniques or other disciplines.
• Strong command of statistical analysis, machine learning and predictive modelling, with a track record of delivering models into production.
• Production-level programming in Python and/or R, plus SQL.
• Experience with modern machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and practices for deploying and monitoring models.
• Experience performing data wrangling from multiple data sources and working with large, complex datasets in an on-premise environment.
• Ability to translate complex data into clear, actionable business insights for technical and non-technical stakeholders.
• A keen interest in sports (especially horse racing and football) and statistical analysis, and a good understanding of the gaming industry.
• Excellent written (English and Chinese) and verbal communication skills.
• Commitment to integrity, responsible gambling and the careful handling of customer data.

Preferred Skills

• Master's degree or PhD in a relevant field.
• Experience with Generative AI / large language models, including the responsible use of AI-assisted development tools.

Salary

• Competitive salary

Benefits & Perks

• Benefits package
• Dynamic working environment
• Development opportunities

About the Company

The Hong Kong Jockey Club is a world-class racing club founded in 1884 that acts continuously for the betterment of society. It operates 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.