Senior Data Scientist - Global Hedge Fund

TENTEN Partners; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

TENTEN Partners in Singapore is seeking an AI Data Scientist to join a high-performing data science team building intelligent data products that enable predictive modelling and systematic research. You will design and deploy AI/ML systems at scale, work with structured and unstructured data, and collaborate with engineers, product and research to push the boundaries of AI in quantitative finance.

Applicants with PhD and strong publications, 3+ years in data science, and deep Python/SQL skills

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning or a related discipline.
• Strong publication record at leading AI or Machine Learning conferences.
• 3+ years of commercial experience in Data Science or Applied Machine Learning.
• Expert-level Python and SQL skills.
• Experience building predictive machine learning models using large-scale datasets.
• Experience with modern AI tooling, LLMs and Generative AI applications.
• Strong communication skills and the ability to collaborate across technical and business teams.
• Curiosity, intellectual rigor and a passion for continuous learning.

Responsibilities

• Design and build AI-powered data products using ML, Generative AI and LLMs.
• Train, fine-tune and deploy AI/ML models on proprietary and external data.
• Develop production-grade ML pipelines from feature engineering to deployment and monitoring.
• Apply Generative AI to semantic search, summarisation and workflow automation.
• Collaborate with engineering, product and research teams to solve business challenges.
• Evaluate open-source models and emerging AI platforms for production use.
• Build robust data pipelines for structured and unstructured data.
• Run experiments and monitor model performance to improve production models.
• Ensure AI systems are scalable, reliable and aligned with responsible AI practices.

Skills

Python

SQL

ML

Generative AI

LLMs

Data pipelines

Research publications

Communication

Education

PhD in Computer Science/AI/ML

Job description

Build AI that powers one of the world's most sophisticated systematic investment platforms.

Not every AI role is about building another chatbot.

Our client is one of the world's leading quantitative investment firms, where world-class researchers, engineers and data scientists collaborate to solve complex problems using cutting-edge machine learning and artificial intelligence.

They are looking for an exceptional AI Data Scientist to join a high-performing data science team responsible for building intelligent data products that directly enable predictive modelling and systematic investment research.

If you're passionate about pushing the boundaries of AI, publishing impactful research, and solving challenging real-world problems using large-scale data, this is an opportunity to work alongside some of the brightest minds in quantitative finance.

What You'll Do

You'll design and build next-generation AI solutions that transform vast volumes of structured and unstructured data into intelligent products used by world-class quantitative researchers.

Your work will include:

• Building AI-powered data products using machine learning, generative AI and Large Language Models (LLMs)
• Designing, training, fine-tuning and deploying advanced AI/ML models using proprietary and external datasets
• Developing production-grade end-to-end ML pipelines from feature engineering through deployment and monitoring
• Applying Generative AI to problems including:
  • Semantic search
  • Summarisation
  • Workflow automation
• Partnering with engineering, product and research teams to solve complex business challenges using scalable AI
• Evaluating state-of-the‑art open‑source models, commercial AI platforms and emerging technologies
• Building robust data pipelines capable of handling both structured and unstructured datasets
• Running experiments, evaluating model performance and continuously improving production models
• Ensuring AI systems are scalable, reliable and deployed using responsible AI best practices

What We're Looking For

We're seeking researchers and builders who enjoy solving difficult technical problems.

You'll ideally bring:

• PhD in Computer Science, Artificial Intelligence, Machine Learning or a related discipline
• Strong publication record at leading AI or Machine Learning conferences
• 3+ years of commercial experience in Data Science or Applied Machine Learning
• Expert-level Python and SQL skills
• Experience building predictive machine learning models using large-scale datasets
• Experience with modern AI tooling, LLMs and Generative AI applications
• Strong communication skills and the ability to collaborate across technical and business teams
• Curiosity, intellectual rigor and a passion for continuous learning

Experience within financial markets or quantitative finance is advantageous but not essential. Exceptional AI talent from technology, research labs or other industries is strongly encouraged to apply.

Why This Opportunity?

This isn't a traditional Data Scientist role.

You'll work on challenging AI problems where your research has real-world impact, alongside highly accomplished researchers, engineers and quantitative professionals.

You'll have the opportunity to:

• Work with cutting-edge AI and machine learning technologies
• Solve intellectually demanding problems at global scale
• Build production AI systems used by elite quantitative investment teams
• Collaborate with exceptional technical talent
• Join an environment that values innovation, scientific thinking and continuous learning