Head of Quantitative Analytics & AI

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

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,