Artificial Intelligence/Machine Learning Modeller- Global Markets

Barclays
SG
On-site

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.

This Role Requires These Essential Skills/ 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
  • 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.
  • Publications or open-source contributions? Even better—we value original thinking.

Desirable Skills And Qualifications

  • Experience in quant trading (especially eFX) or alpha research.
  • Large Language Models (LLM) expertise.
  • Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities

  • 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.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifyi

Skills & Requirements

Technical Skills

AIMLdata sciencesoftware engineeringPythonPyTorchAWS SageMakerNLPReinforcement LearningTime SeriesAlgorithmic TradingMachine Learning Engineeringvector databasesSQLNoSQLAmazon Bedrockquant tradingeFXalpha researchlarge language modelsstrategic thinkingrisk managementcollaborative mindsetdrive to learniterationimprovementAIMLdata sciencesoftware engineeringNLPReinforcement LearningTime SeriesAlgorithmic TradingMachine Learning Engineeringquant tradingeFXalpha researchlarge language models

Employment Type

FULL TIME

Level

senior

Posted

3/22/2026

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