Artificial Intelligence/Machine Learning Modeller- Global Markets at Barclays

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, Mathematical Modelling, Machine Learning, Artificial Intelligence, Trading Strategies, Risk Management, Data Analysis, Statistical Modelling, Python, PyTorch, AWS SageMaker, Natural Language Processing, Reinforcement Learning, Time Series, Algorithmic Trading, Software Engineering

Industry

Banking

Description

Job Description 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, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

The role involves developing and implementing quantitative models and strategies to optimize trading decisions, pricing, and risk management across financial products, while also providing front office infrastructure support through analytical library ownership. Responsibilities include applying advanced Machine Learning, statistics, and mathematics using Python to build and productionize models across asset classes.