Highlights
- Gain exposure to real world problems in our dynamic and invigorating environment
- Collaborate with a team of skilled quant researchers and engineers who are always ready to provide hands-on training, enhancing your abilities through practical experience on significant live projects
- Opportunities to use sophisticated and sustainable quantitative solutions and analytical tools to solve business problems
About the role
Join us, and we’ll encourage you to push the boundaries of what you know. Using the latest technological innovations and smarter ways of working to arrive at optimal solutions.
The best way to get a sense of what it’s like to work with us is to experience it for yourself. Our graduate opportunities give you the chance to do just that – immersing you in our culture, involving you in real projects and giving you a fantastic overview of the business.
What to expect
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 programme provides the opportunity to join one of our specialist teams, including:
Quantitative Analytics
Our group spans many disciplines, offering you exposure to the rapidly evolving world of trading, finance and risk management. You’ll be developing mathematical models, statistical techniques and computational tools by working with a diverse team of talented colleagues. You’ll also apply data driven insights to improve decision making and partner with trading desks or risk managers to automate strategies, manage risks and deliver franchise benefits.
Electronic Trading
As an eTrading graduate, you’ll take your first steps in the extremely challenging and fascinating world of algorithmic trading & data science. Working with a broad spectrum of colleagues, you’ll learn how data science fits into our business. What’s more, you’ll help our team to turn mathematical and algorithmic ideas into trading reality.
How you’ll develop
From beginning to end, we’ll do everything in our power to make sure you get the very most from your role, including matching you with a team that best aligns with your strengths.
We’ll surround 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. If you perform well, this could be the beginning of an incredible career with Barclays.
Who thrives here
Logical problem-solvers do well here. You’ll have completed (or be in your final year of) an undergraduate or postgraduate qualification, 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.
What to expect
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 programme provides the opportunity to join one of our specialist teams, including:
Quantitative Analytics
Our group spans many disciplines, offering you exposure to the rapidly evolving world of trading, finance and risk management. You’ll be developing mathematical models, statistical techniques and computational tools by working with a diverse team of talented colleagues. You’ll also apply data driven insights to improve decision making and partner with trading desks or risk managers to automate strategies, manage risks and deliver franchise benefits.
Electronic Trading
As an eTrading graduate, you’ll take your first steps in the extremely challenging and fascinating world of algorithmic trading & data science. Working with a broad spectrum of colleagues, you’ll learn how data science fits into our business. What’s more, you’ll help our team to turn mathematical and algorithmic ideas into trading reality.
How you’ll develop
From beginning to end, we’ll do everything in our power to make sure you get the very most from your role, including matching you with a team that best aligns with your strengths.
We’ll surround 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. If you perform well, this could be the beginning of an incredible career with Barclays.
Who thrives here
Logical problem-solvers do well here. You’ll have completed (or be in your final year of) an undergraduate or postgraduate qualification, 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.
Further information
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