ML Data Scientist - Global Quant Hedge Fund

Anson McCade; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

World-leading hedge fund

Proprietary datasets

Competitive compensation

Job summary

Anson McCade is recruiting on behalf of a leading global quantitative hedge fund for an exceptional ML Data Scientist in Asia. You will join the Data Science team to develop production-grade ML solutions that power a sophisticated systematic investment platform, working with large proprietary datasets and collaborating with top researchers and engineers.

The role emphasizes cutting-edge AI across LLMs, generative AI, NLP and representation learning, with opportunities in Singapore or Hong Kong.

Qualifications

• PhD in Computer Science, AI, ML or related quantitative discipline.
• 3+ years of industry AI/DS experience.

Responsibilities

• Research, develop and deploy AI solutions for data capabilities and investment processes.
• Build scalable ML models from large, diverse datasets.
• Collaborate with researchers, engineers and stakeholders to identify high-impact AI opportunities.
• Design robust data and model workflows from experimentation to production.

Skills

Python

SQL

Publications

Experience 3+ years

Education

PhD in CS/AI/ML

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.