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Senior Artificial Intelligence/Machine Learning Modeller- Global Markets

barclays.co.uk Logo

Barclays

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Location:
Singapore , Singapore

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Category:
Finance

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

This is an exciting opportunity to join the Barclays team in Singapore as a seasoned AI/ML Modeller. We are building an AI/ML team within Global Markets 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.

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
  • 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

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
  • Responsible for mentoring team members, linking up with key stakeholders, managing projects, and spearheading R&D thinking

Nice to have:

  • Experience in quant trading (especially eFX) or alpha research
  • Natural Language Processing (NLP) and Large Language Models (LLM) expertise
  • Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock
  • Publications or open-source contributions

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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