Lead Quantitative Scientist (Wagering)

Job Summary

The job holder will be responsible for assisting in the management of the following core areas:

• Developing Trading Tools and Analytics Models to improve the profitability and efficiency of Sports Trading
  1. Conducting statistical research and analysis of data.
  2. Developing and implementing algorithms and models into wagering solutions and tools.
  3. Providing BAU production support.
  4. Managing enhancement ideas/requests and issues/fixes
• Data Engineering
• People Development

The Job

• Develop Trading Tools and Analytics Models
• Conduct cutting-edge research of Sports data to understand the relevant factors in order to predict likelihood of Sports outcomes
• Manage and support the development of Eagle-I, and ensure the system remains robust and efficient
• Build ML/AI models on relevant data to produce accurate pricing algorithms along with analytics and risk management tools for Sports trading team
• Provide strategic input to the development, implementation and delivery of product innovations to the Club (primarily Wagering team) along with pricing and service improvements and requirements
• Assist in the development of all model and statistical analysis for automated wagering tools
• Assist in the development of Trading Systems and Quantitative Finance engines with the objective of improving efficiency and profits exclusively in the trading environment
• Ensure the team adheres to a streamlined, agile product development lifecycle, embracing automation at all times with standardized modular, reusable components
• Build close working relationship and actively liaises with wagering business teams and IT teams to closely align with dynamically changing business needs and ensure that the correct products are being developed and deployed
• Recommend opportunities for and assists with driving initiatives on improving products and efficiencies
• Data Engineering
• Assist with the implementation of data pipelines within the Team with regard to suitable hardware and infrastructure
• Ensure that the Team delivers solutions to Sports Trading (and more widely if relevant) efficiently and with increased automation
• Promote use of the appropriate tools and processes through your experience in the areas of AI, cloud computing, big data to increase the likelihood of successful modelling
• People Development
• Assist with recruiting, on-boarding new joiners, and mentoring team members
• Delegate appropriate tasks that will help provide relevant experience to improve HKJC know-how skills of team members to empower them with the capability to independently drive results with cross-functional teams (e.g. IT, Procurement, Finance, etc.)
• Facilitate collaboration amongst colleagues across Trading (e.g. FB Trading Operations, Fixed Odds Racing, Trading Support, and Finance Compliance teams) and ensure that they are appropriately involved in decisions and plans that affect them
• Assist with facilitating broader cross-team adoption and more advanced usage of team collaboration tool(s)
• General Tasks
• Assist with supplier management, contract management and renewals for relevant data subscription services
• Assist with managing finances (CAPEX and OPEX) to ensure costs do not exceed budget
• Provide regular management updates and recommended actions
• Ensure TPR team’s Policies and Procedures are centralized and kept up-to-date and assists to ensure compliance by team members.
• Ensure compliance with Responsible Gambling Policy and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s businesses
• Undertake other duties as assigned by supervisors

About You

You should have:

• A degree in Computing, Mathematics, Statistics or related disciplines, MSc and above a real bonus
• At least 7 years’ experience in applying a variety of modelling, machine learning and AI techniques with demonstrable learnings and results
• Recent experience in managing agile project life cycle through to delivery of working software, managing a team and developing talent pipeline
• A passion, enthusiasm and curiosity about modelling data to investigate and solve problems with a proven ability to use and draw insight from data meaningfully
• An interest and working knowledge of sports (especially Football, horse racing and basketball) and betting (global or local) is desirable, experience in the gaming sector ideal
• Experience in writing board papers or in presenting white papers, journal articles and technical reports on the results of your research
• Self-motivated and strong drive to succeed
• Strong computational background, with significant production-level programming and scripting experience
• Proficiency in various coding languages (C#/C++, R, SQL, VBA) with good knowledge of Python to deliver analysis and algorithms. Knowledge of new wave AI and ML languages and technologies preferred. Regardless of language, significant production-level programming experience is essential
• Solid experience in relational databases (SQL Server), as well as working familiarity with a variety of databases
• Solid experience in object-oriented programming (C#, Java, C++), as well as other scripting languages (Python, Matlab, R, VBA)
• Able to use version control (GIT, TFS) efficiently
• Proficiency in written and spoken English required, with fluency in Cantonese and Mandarin preferred

Terms of Employment

How to Apply

Please submit your resume with expected salary by clicking the Apply Now button.

We are an equal opportunity employer. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and prospective employees relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request