AI Data Scientist: End-to-End ML for Predictive Finance

Point72; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Point72 in Hong Kong is seeking an AI Data Scientist to join Cubist’s Data Services group. You will build AI-powered data products, train and deploy in-house AI models, and develop end-to-end pipelines for both structured and unstructured data.

The role emphasizes generative AI, LLM techniques, and collaboration with product, engineering, and business teams to translate problems into scalable AI solutions. A PhD in CS and strong publications are preferred, with 3+ years in data science and

Qualifications

• PhD in Computer Science with AI/ML specialization.
• Proficient in Python and SQL.
• Strong publication record in top-tier ML conferences.
• 3+ years as a Data Scientist or similar role.
• Experience with large datasets and predictive modeling.

Responsibilities

• Build AI-powered data products using ML models and LLMs.
• Design, train, fine-tune, evaluate, and deploy in-house AI/ML models.
• Develop end-to-end model pipelines from data prep to deployment and monitoring.
• Apply generative AI to summarization, classification, knowledge extraction and semantic search.
• Collaborate with product, engineering and business teams to translate problems into AI solutions.
• Evaluate third-party AI tools, APIs, and internal models for integration.
• Create data pipelines and model workflows for structured and unstructured data.
• Define performance metrics, run experiments, and improve model quality.

Skills

Python

SQL

Publications

Data Science

Education

PhD in Computer Science

Job description

Point72 in Hong Kong is seeking an AI Data Scientist to join Cubist’s Data Services group. You will build AI-powered data products, train and deploy in-house AI models, and develop end-to-end pipelines for both structured and unstructured data.

The role emphasizes generative AI, LLM techniques, and collaboration with product, engineering, and business teams to translate problems into scalable AI solutions. A PhD in CS and strong publications are preferred, with 3+ years in data science and