2027 Quantitative Analytics Analyst Graduate Program New York

About the Program

You'll join our expert program, a 1 year targeted, fast-track program designed to give you depth and breadth of experience. Participating in job-based bespoke training from the start enabling you to go fully-equipped into your role as you develop specialist technical expertise.

About the Role

Our team is an integral part of the bank, researching and developing models and producing data analysis tools for valuation and risk management across various business areas at Barclays. As a Graduate in Risk Quantitative Analytics (Risk QA), you will join a group of specialised modellers and developers powering Barclay's ability to manage financial risk. From day one, you'll be part of a team that uses statistical methods, AI techniques, and coding strategies to build the tools and models Barclays uses to make big decisions. Along the way, you'll collaborate with colleagues across risk, finance, global markets, and technology - gaining exposure to how different parts of the business come together to navigate market shifts and meet regulatory demands.

What You'll Do

• Develop and implement quantitative models and strategies to enhance decision-making, pricing, and risk management
• Design and maintain high-performance trading platforms and risk systems, integrating new features to improve reliability and user experience
• Conduct research and data analysis to uncover market trends and drive innovation through advanced methodologies and technologies
• Collaborate with traders, sales teams, and stakeholders in Risk and Finance to deliver customized solutions and translate business needs into scalable tech tools
• Work cross-functionally with compliance, IT, and strategy teams to resolve system issues and continuously improve trading infrastructure

Who You Are

• Completed or in your final year of a postgraduate degree (Masters degree, equivalent or higher) with a GPA of 3.4 or above
• Completing your studies in a technical discipline such as Mathematics, Quantitative Finance, Statistics, Calculus Physics, Economics, Computer Science, Machine Learning or other similar subjects
• Strong mathematical and programming skills (ideally in C++, or Python)
• Some financial knowledge (regarding financial instruments, asset simulation or pricing models) and a passion to learn more about the banking sector, the financial services industry and capital markets
• Great at communicating and collaborating – driven to identify the best solution to a problem and then motivated to deliver that solution at pace
• Ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes

Pay

Salary / Rate: $125,000 (base salary or base hourly rate; does not include any other type of compensation or benefits that may be available)

Location

Americas Headquarters, 745 Seventh Avenue, New York, NY – in the heart of Times Square. This iconic 37-story tower offers a modern cafeteria, a fully equipped fitness center, and cutting-edge LED signage lighting up the skyline.

Visa Information

Barclays will not offer or consider offering sponsorship for work visas or offer any employment-based immigration sponsorship for individuals, now or in the future, unless such individuals are enrolled in or graduate with a degree in a field of study that the U.S. Department of Homeland Security and the Department of Education consider to be a science, technology, engineering or mathematics (STEM) field of study for purposes of the 24-month STEM OPT extension. This includes for any internship, post-graduation program, or permanent employment, now or in the future.

Application Deadline

The closing date for applications is September 28. Please note that this vacancy may close ahead of the advertised date due to application volumes, and we therefore recommend submitting your application as early as possible.