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Artificial Intelligence/Machine Learning Modeller- Global Markets

barclays.co.uk Logo

Barclays

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Location:
Singapore , Singapore

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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