This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you’ll play a crucial role in building an AI/ML team and we’re doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We’re looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You’ll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You’ll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.
Job Responsibility:
Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets
Working closely with sales teams to identify clients' needs and develop customised solutions
In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics
Provide front office infrastructure support though ownership and maintenance of analytical libraries
Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment
Requirements:
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
Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective
Champions a collaborative mindset and a drive to learn, iterate, and improve
Nice to have:
Experience in quant trading (especially eFX) or alpha research
Large Language Models (LLM) expertise
Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock
Publications or open-source contributions
What we offer:
Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
International scale with geographic reach and variety of functions
Opportunity to learn from a globally diverse mix of colleagues
Encouragement to embrace mobility and explore operations