AI/ML Modeller - Global Markets

Barclays UK; City Of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A global financial institution seeks an AI/ML Modeller in London to build and deployment of innovative Machine Learning models. The role requires a Master’s degree in a STEM field, a strong foundation in Machine Learning, and expertise in Python and cloud platforms. This position offers an opportunity to drive creative solutions in a dynamic trading environment, collaborating closely with diverse teams.

Qualifications

• Proven record in crafting effective and rigorous solutions.
• Publications or open-source contributions are a plus.
• Collaborative mindset and a drive for continuous improvement.

Responsibilities

• Build and productionize Machine Learning models across asset classes.
• Develop quantitative models for market trend optimization.
• Work with sales teams to provide customized solutions.

Skills

Strong foundation in Machine Learning

Data science

Software engineering

Natural Language Processing (NLP)

Quant trading

Education

Master’s degree in STEM

PhD (preferred)

Tools

Python (PyTorch or similar)

AWS SageMaker

SQL/NoSQL

Amazon Bedrock

Job description

Join the Barclays Global Markets team in London as an AI/ML Modeller where you’ll play a crucial role in building a new AI/ML capability. We’re doing it with start-up energy: lean, collaborative, and relentless focus 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.

To be successful as an AI/ML Modeller you should have:

• 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.

• 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.

Additional desired skills of value include:

• 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 the key critical skills relevant for this role, such as risk and controls, change and transformation, business acumen, strategic thinking, and technology, as well as job‑specific technical skills.

This role is based in our London Location.

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 optimise 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.

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.