Quantitative Finance Associate Off Cycle Internship Programme 2027 London
Barclays is hiring a Quantitative Finance Associate Off Cycle Internship Programme 2027 London. Level rates it ; you can apply on Barclays.
Level's read on this job
- Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
- The posting mentions visa sponsorship.
- The posting mentions quantitative analysis, mathematical modelling and risk management among its tools and skills.
- Level classes it as an internship.
- Barclays has 653 other open roles on Level.
AI in this role
Develop quantitative models and trading strategies to support markets and risk businesses during a 2027 off-cycle internship in London.
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 the Quant Off-Cycle Internship Programme?
As an intern with Barclays you’ll be embedded with one of our Quant teams, we’ll expect you to have a tangible impact on our business from day one, using the latest AI tools to work on algorithmic trading strategies, researching and developing models or producing data analysis tools for valuation and risk management.
Quantitative Finance at Barclays
Our teams are an integral part of the bank, managing algorithmic trading strategies, researching and developing models and producing data analysis tools for valuation and risk management across various business areas at Barclays.
Applying to our program provides the opportunity to join one of our specialist teams, including:
Markets Quantitative Analytics (Markets QA)
Markets Quantitative Analytics develops the models, data science and insights that underpin trading, risk management and decision-making across Global Markets. By combining quantitative research, technology and market expertise, the team automates strategies, enhances analytics and delivers scalable solutions that improve franchise performance.
Risk Quantitative Analytics (Risk QA)
Risk Quantitative Analytics develops the models, analytics and technology that enable Barclays to measure, manage and optimise financial risk across the firm. By combining quantitative research and software engineering, the team delivers data-driven insights and scalable solutions that support decision-making, regulatory compliance and risk management.
Electronic Trading (eTrading)
Markets Electronic develops, operates and governs Barclays' global electronic trading capabilities, delivering the platforms, algorithms, quantitative models, client connectivity and automation that enable clients to trade seamlessly across asset classes at scale. The team combines trading, quantitative research, data science, technology, and risk control expertise to drive revenue growth, market-making, execution quality, resilience and innovation across Global Markets' eTrading franchise.
Who we’re looking for
Logical problem-solvers do well here. You’ll have completed (or be in your final year of) a postgraduate qualification (Master’s degree or higher) in a technical discipline such as Physics, Mathematics, Operations Research, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects, with strong programming skills, particularly Python, C++, or Java.
You’ll be great at communicating and collaborating – driven to identify the best solution to a problem and then motivated to deliver that solution at pace.
You’ll also be ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes.
These are qualities people at Barclays have in abundance, and we’ll help you further develop them from the day you arrive.
Barclays will accept applications from candidates who require visa sponsorship to work in the UK and will provide a skilled worker visa for successful applicants if they meet the Home Office’s eligibility criteria for a skilled worker visa. Successful applicants who are not eligible to receive a skilled worker visa, and who we are therefore unable to secure a skilled worker visa for, will be required to have their own legal right to work in the UK on a full-time basis from their programme start date to their programme end date. The relevant start and end dates for this programme will be those confirmed to successful applicants.
Working in London
If you love the buzz of city life, our global HQ is the place to be. Our London hub is in Canary Wharf, at the heart of London’s financial district. Here, you won’t just be perfectly placed to explore the nation’s capital; you’ll be in a place where you can explore all the many functions and opportunities of a global financial giant. And if you’re technically minded, you’ll get more from your tech career by collaborating with other brilliant minds on game-changing innovations that are redefining the future of finance.
How we rate this
Quantitative Finance Associate Off Cycle Internship Programme 2027 London at Barclays rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- Typical finance job
- $105k
This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs
Questions you could be asked
- Tell me about a project where quantitative analysis was part of your work. What did you do?
- Tell me about a project where mathematical modelling was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where trading strategies was part of your work. What did you do?
- Tell me about a project where c was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Quantitative Analysis, Mathematical Modelling, Risk Management, Trading Strategies, and C. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new finance jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Finance roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step