Senior Artificial Intelligence/Machine Learning Modeller- Global Markets

Join to apply for the Senior Artificial Intelligence/Machine Learning Modeller – Global Markets role at Barclays Get AI-powered advice on this job and more exclusive features. 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. 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. 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. Responsible for mentoring team members, linking up with key stakeholders, managing projects, and spearheading R&D thinking. Desirable Skills 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. 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. 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 through 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. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures. Define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance, and contribute to employee pay decisions/changes. Demonstrate clear leadership behaviours and create an environment for colleagues to thrive and deliver to a consistently excellent standard. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Banking and Financial Services #J-18808-Ljbffr