Senior Quantitative Scientist - Real-Time Wagering & ML

The Hong Kong Jockey Club; Hong Kong; On-site; HKD 1,000,000 - 1,500,000; Full time

Job summary

The Hong Kong Jockey Club is seeking a (Senior) Quantitative Scientist (Wagering) to own end-to-end modelling for real-time pricing, player risk and wagering products. You will transform large wagering data into production-ready models and insights that drive commercial performance within our Responsible Gambling framework.

Responsibilities include building probabilistic and ML models, running experiments, deploying pipelines, and collaborating with trading, product and data engineers to deliver

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 Master's degree or PhD is preferred
• A minimum of 5 years' experience in a modelling / analysis / statistics role (statistical, Artificial Intelligence & 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
• Experience with Generative AI / large language models, including the responsible use of AI-assisted development tools, is an advantage
• A keen interest in sports (especially horse racing and football) and statistical analysis; a good understanding of the gaming industry is essential
• Excellent written (English and Chinese) and verbal communication skills
• Commitment to integrity, responsible gambling and the careful handling of customer data

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

Skills

Python

R

SQL

Machine Learning

Statistical Analysis

A/B Testing

MLOps

Generative AI

Data Wrangling

Big Data

Communication

Education

Bachelor's degree in quantitative field

Master's or PhD preferred

Tools

scikit-learn

XGBoost

PyTorch

TensorFlow

On-premise environments

Job description

The Hong Kong Jockey Club is seeking a (Senior) Quantitative Scientist (Wagering) to own end-to-end modelling for real-time pricing, player risk and wagering products. You will transform large wagering data into production-ready models and insights that drive commercial performance within our Responsible Gambling framework.

Responsibilities include building probabilistic and ML models, running experiments, deploying pipelines, and collaborating with trading, product and data engineers to deliver