Quantitative Finance Associate Off Cycle Internship Programme 2027 London
Barclays
3-6 month off-cycle internship in Quant-focused business areas (Markets QA, Risk QA, eTrading), London. No fixed closing date; Barclays posts a live date rather than a deadline. Ref: JR-0000124685. 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 (dates confirmed to successful applicants).
Full job description
Internships at Barclays. Our internships are the perfect introduction to the world of financial services. You'll be immersed in your chosen business area, learning from our people and taking on real business challenges. You'll receive genuine support and encouragement, with both senior and junior mentors to guide you, and you'll have the opportunity to take part in networking and social events. Off-Cycle Internship Overview: Join us on an Off Cycle Internship for 3-6 months working within one of our Quant focused business areas. As an intern with Barclays you'll be embedded with one of our Quant teams, 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. Specialist teams include: Markets Quantitative Analytics (models, data science and insights underpinning trading, risk management and decision-making across Global Markets); Risk Quantitative Analytics (models, analytics and technology to measure, manage and optimise financial risk); Electronic Trading (eTrading) (platforms, algorithms, quantitative models, client connectivity and automation for electronic trading capabilities). Who we're looking for: 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. 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. Purpose of the role: Bringing quantitative and analytical expertise to bear across the full spectrum of Markets and Risk businesses, including design and development of risk management and trading strategies through quantitative analysis, mathematical modelling, and technology. 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. Conduct research and data analysis to uncover market trends. Collaborate with traders, sales teams, and stakeholders in Risk and Finance. Work cross-functionally with compliance, IT, and strategy teams. 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. What you get in return: Paid holiday and vacation, Competitive pay, Private medical care, Disability assurance, Flexible working, Life assurance, Voluntary benefits, Retirement planning.