AI/ML Modeller — Quant Trading & Market Innovation

Barclays UK; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading investment bank in Singapore seeks an AI/ML Modeller to build and productionize Machine Learning models across asset classes. The ideal candidate will have a Master's degree in a STEM field and strong expertise in Machine Learning and Python. Responsibilities include developing quantitative models to optimise trading strategies, conducting in-depth data analysis, and collaborating across teams to provide innovative solutions. This role values creativity and a collaborative mindset, driving innovation within trading environments.

Qualifications

• Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
• A proven record of a strong foundation in Machine Learning, data science, and software engineering.
• Proven experience with Python.

Responsibilities

• Development and implementation of quantitative models and strategies to optimise trading.
• In-depth research, data analysis, and statistical modelling for market trends.
• Provide front-office infrastructure support for analytical libraries.

Skills

Machine Learning

Python

Data Science

Collaborative Mindset

Education

Master's degree in a STEM field

Tools

AWS SageMaker

Job description

A leading investment bank in Singapore seeks an AI/ML Modeller to build and productionize Machine Learning models across asset classes. The ideal candidate will have a Master's degree in a STEM field and strong expertise in Machine Learning and Python. Responsibilities include developing quantitative models to optimise trading strategies, conducting in-depth data analysis, and collaborating across teams to provide innovative solutions. This role values creativity and a collaborative mindset, driving innovation within trading environments.