ML Data Scientist - Global Quant Hedge Fund

Anson McCade; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Anson McCade represents a leading global quantitative hedge fund in Asia, seeking an exceptional ML Data Scientist to join its growing Data Science team. You will work at the intersection of AI and quantitative finance, building production-grade ML solutions with large proprietary datasets.

Responsibilities include researching and deploying AI solutions, building scalable models, and collaborating with researchers, engineers, and business stakeholders to drive high-impact opportunities.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• 3+ years of industry experience in AI, ML or Data Science.
• Strong publication record at NeurIPS, ICML, or ICLR.

Responsibilities

• Research, develop and deploy innovative AI solutions that enhance data capabilities and investment processes.
• Build scalable ML models to extract insights from large, complex datasets.
• Partner with researchers, engineers and stakeholders to identify high-impact AI opportunities.
• Design robust data and model workflows from experimentation to production deployment.
• Explore state-of-the-art techniques across LLMs, generative AI, NLP and representation learning.
• Evaluate emerging AI technologies and integrate new methodologies into platforms.
• Measure, monitor and improve model performance through rigorous experimentation.
• Contribute to evolution of the firm’s AI infrastructure and production ML systems.

Skills

Python

SQL

Machine Learning

NLP

Research

LLMs

Education

PhD in Computer Science / AI / ML

Tools

PyTorch

TensorFlow

Job description

Our client is a leading global quantitative hedge fund that is looking to hire an exceptional ML Data Scientist to join its growing Data Science team in Asia.

This is a unique opportunity to work at the intersection of cutting-edge AI and quantitative finance, developing production-grade machine learning solutions that support one of the world's most sophisticated systematic investment platforms. You'll collaborate with leading researchers and engineers while working with large-scale proprietary datasets to solve complex real-world problems.

Responsibilities:

• Research, develop and deploy innovative AI solutions that enhance the firm's data capabilities and support systematic investment processes.
• Build scalable machine learning models capable of extracting insights from large, complex and diverse datasets.
• Partner with researchers, engineers and business stakeholders to identify high-impact opportunities where AI can drive meaningful improvements.
• Design robust data and model workflows that take projects from early experimentation through to production deployment.
• Explore and apply state-of-the-art techniques across areas such as LLMs, generative AI, natural language processing and representation learning.
• Evaluate emerging AI technologies and research, identifying opportunities to incorporate new methodologies into existing platforms.
• Measure, monitor and continually improve model performance through rigorous experimentation and data-driven optimisation.
• Contribute to the evolution of the firm's AI infrastructure, helping to build scalable, reliable and production-ready machine learning systems.

Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• 3+ years of industry experience in AI, Machine Learning, or Data Science.
• Strong publication record at leading conferences such as NeurIPS, ICML, or ICLR.
• Excellent Python and SQL programming skills.
• Experience building predictive models using large-scale datasets.
• Quantitative finance experience is advantageous but not required.

What's on Offer:

• Join a world-leading quantitative hedge fund with significant investment in AI.
• Work alongside exceptional researchers and engineers on cutting-edge machine learning challenges.
• Access unique proprietary datasets and world-class computational resources.
• Market-leading compensation package.
• Opportunities available in Singapore or Hong Kong.