VP, AI/ML Quant Research — Financial Innovation Leader

Goldman Sachs; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Goldman Sachs in Singapore is seeking a Quantitative AI/ML Researcher to lead high-impact projects in financial innovation. This role emphasizes end-to-end model ownership, from initial research to deployment in dynamic trading environments.

The successful candidate will have a Ph.D. or Master’s in a quantitative field and expert-level programming skills in Python. A deep understanding of advanced machine learning and the ability to communicate complex topics effectively are essential.

Qualifications

• Ph.D. or Master’s degree in a quantitative discipline such as Computer Science, Statistics, Quantitative Finance, Mathematics, Physics, or Electrical Engineering.
• Expert-level programming proficiency in Python with experience in scientific computing.
• Proficient in machine learning techniques including LLMs and deep learning.

Responsibilities

• Spearhead end-to-end lifecycle of AI/ML models.
• Design, train, and validate novel models for predictive tasks.
• Integrate state-of-the-art Explainable AI methodologies.

Skills

Programming in Python

Machine Learning techniques

Statistical methods

Deep Learning architectures

Education

Ph.D. or Master’s degree in a quantitative discipline

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Job description

Goldman Sachs in Singapore is seeking a Quantitative AI/ML Researcher to lead high-impact projects in financial innovation. This role emphasizes end-to-end model ownership, from initial research to deployment in dynamic trading environments.

The successful candidate will have a Ph.D. or Master’s in a quantitative field and expert-level programming skills in Python. A deep understanding of advanced machine learning and the ability to communicate complex topics effectively are essential.