Quantitative Analytics Associate Off Cycle Internship Programme 2027 Paris

Job Description

Purpose of the role

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.

Accountabilities

• 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.

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.

Off-Cycle Internship Overview
Join us on an Off Cycle Internship for 3-6 months working within one of our Quant focused business areas. Immerse yourself in our work and culture and gain invaluable insights with this longer internship.

Why Quantitative Analytics Off-Cycle Internship Programme?
If you join us as an Off-Cycle intern, then you have the opportunity to join the team that delivers world-class solutions.

Our industry-leading group provides model development, analytics, and valuable quantitative advice to businesses across the bank. Compared to our summer internships, this extended off-cycle programme will ensure you gain longer exposure to our projects, enabling you to gain in-depth knowledge into our business area.

Markets Quants

Consisting of specialised modellers and developers, the team directly supports the Capital Markets division of the bank. Team members are responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for front-office pricing, valuation adjustments, along with market and counter-party credit risk management across all asset classes. Joining a group that partners with trading, structuring, and risk management functions across the bank, you’ll gain broad exposure to a variety of classic and contemporary financial engineering modelling techniques and markets instruments to help drive business strategy.

The chance to make an impact

As a Quantitative Analytics Off-Cycle intern, you’ll gain valuable exposure to real-world problems in our dynamic and invigorating environment. You will be able to engage in the application of cutting-edge quantitative techniques to effectively address complex business challenges. This entails conducting research, creating and deploying innovative models, and integrating solutions into practical scenarios. Embrace forward-thinking technological methods to enhance our computational capabilities and data systems. Immerse yourself in the role of a quant professional, providing crucial support for intricate modeling requirements within a top-tier multinational banking enterprise. Collaborate with diverse stakeholders spanning various bank functions and global locations, facilitating valuable interaction and insights across the organisation.

A place where you can thrive

This is a comprehensive internship program that offers extensive training and the potential for a promising career. Exceptional interns showcasing strong work ethic, technical proficiency, and business insight may secure full-time employment opportunities upon internship completion. Throughout the program, you'll engage in both formal and informal training tailored to provide timely knowledge, receive thorough performance coaching & feedback, and have chances to enhance your network and cultivate leadership abilities.

Quantitative Analytics at Barclays
Our Quantitative Analytics team is a global organisation of highly specialised modellers and developers responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for valuation and risk management across all asset classes.

Who we’re looking for

To be considered for this programme, you must have completed (or be in the final year of) a postgraduate qualification, Masters or higher, in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects.

Ideally, you would also have:

• Mathematical and programming skills (ideally in C++, or Python)
• Logical thinking and problem-solving abilities
• Excellent communication skills and a team-oriented attitude
• Fluent written and spoken English
• Passion to learn about the banking sector, financial services industry, and capital markets