2027 Quantitative Analytics Analyst Graduate Program New York

Barclays•New York, NY

3d•Onsite

About The Position

Bringing quantitative and analytical expertise to bear across the full spectrum of our Markets and Risk businesses. Our Early Careers colleagues are expected to play an important role in the design and development of risk management and trading strategies, through the use of quantitative analysis, mathematical modelling, and technology, with the aim of optimising trading processes, development practices, systems and infrastructure as well as identifying growth and investment opportunities. If you're a recent graduate or soon-to-be graduate, join us and unlock a world of carefully curated experiences, knowledge, and connections to shape your career. Along the way, you can expect all the training and support you need to make your mark on the world. Put simply, we’ll empower you to help determine how we do things and where we go next. Our graduates are a vital part of our success. If you’re curious, creative, and ambitious, this is a world in which you can truly belong. 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. 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. We’ll provide you with challenging projects and opportunities to grow and learn. We’ll keep you motivated with encouragement, feedback and support as you build your technical know-how, business acumen and leadership skills. We’ll help you connect with mentors, and network with colleagues and senior leaders alike.

Requirements

Completed or be in your final year of a postgraduate degree (Masters degree, equivalent or higher)
GPA of 3.4 or above
Completing 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)
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.

Responsibilities

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.
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.