Quantitative AI/ML Researcher: Finance & Trading Innovation

Goldman Sachs Bank AG; Singapore; On-site; SGD 100,000 - 150,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Financial Wellness & Retirement

On-site fitness centers

Child care centers and family care

Job summary

Goldman Sachs Bank AG in Singapore is seeking a Quantitative AI/ML Researcher to lead advanced AI projects with a focus on financial innovation. Candidates should possess a Ph.D. or Master’s degree in a quantitative discipline, be expert in Python programming, and have extensive experience in machine learning techniques. The role involves end-to-end model development from research to deployment in a fast-paced trading environment. The position includes a focus on XAI methodologies and engineering excellence with advanced predictive modeling techniques.

Qualifications

• A 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 and deep experience with its scientific computing and machine learning ecosystem.
• Proven ability to independently conduct research, manage complex datasets, and solve challenging problems.

Responsibilities

• Spearhead the end‑to‑end lifecycle of AI/ML models, ensuring measurable commercial impact.
• Design, train, and validate novel models for predictive tasks in complex financial time series.
• Engineer and maintain high‑quality, production‑grade code and resilient data pipelines.

Skills

Machine learning

Quantitative analysis

Python programming

Deep learning

Statistical methods

Education

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

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Job description

Goldman Sachs Bank AG in Singapore is seeking a Quantitative AI/ML Researcher to lead advanced AI projects with a focus on financial innovation. Candidates should possess a Ph.D. or Master’s degree in a quantitative discipline, be expert in Python programming, and have extensive experience in machine learning techniques. The role involves end-to-end model development from research to deployment in a fast-paced trading environment. The position includes a focus on XAI methodologies and engineering excellence with advanced predictive modeling techniques.