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, and we welcome applications from people from all walks of life. Whoever you are and wherever you want to join us, if you’re curious, creative and ambitious, this is a world in which you can truly belong.
1-2 year targeted, fast-track programme focused on developing specialist technical expertise.
Why the Quantitative Analytics Graduate programme?
Our industry-leading group provides model development, analytics, and valuable quantitative advice to businesses across the bank. Applying to our programme means the opportunity to join one of our specialist teams, including:
1. 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.
2. Statistical Modelling Quants
Comprised of data scientists, developers, data engineers, and researchers, the team directly supports the Finance, Treasury, Fraud Surveillance, Stress Testing, Climate Risk, as well as the Wholesale and Retail Credit Risk operations within the bank. Team members deliver solutions to develop, test, implement, and support all statistical and econometrics models for the estimation of default probabilities, recovery rates, exposures at default, forecasting models for net revenue, balance sheet projections, scenario generation/expansion, operational risk, climate change, economic capital models, and machine learning models for fraud detection.
The chance to make an impact
As a Quantitative Analytics Graduate, your experience at Barclays will begin with several weeks of intense training, covering product and business knowledge as well as other skills you’ll need for a successful start. After training, you’ll join a specific desk and collaborate with colleagues on active projects, giving you ample opportunities to grow and learn.
What we're looking for
To be considered for this programme, you must be motivated and curious and have completed or be in your final year of an undergraduate or postgraduate qualification, or equivalent, in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects.
Ideally, you'll have mathematical and programming skills (ideally in Java, C++, or Python) along with a knack for logical thinking and creative problem solving. You'll be a good communicator and team player.
Purpose of the role
To participate in the day-to-day operations of the Quantitative Analytics (QA) group by providing analytical insights and expertise that will help our business leaders and stakeholders make informed decisions, support existing trading strategies, develop new products, strategies and services, as well as identify new market opportunities.
Accountabilities
* Application of the latest quantitative techniques to solve business problems, including research, development, and implementation of new models and solutions.
* Collaboration with cross-functional teams to support business initiatives.
* Participation in training and development programs to enhance skills and knowledge.
* Design, development and support of the quantitative research framework using C++, Python, and other in-house domain specific languages.
* Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products.
* Training and mentoring of junior colleagues.
Analyst Expectations
* Will have an impact on the work of related teams within the area.
* Partner with other functions and business areas.
* Take responsibility for end results of a team’s operational processing and activities.
* Advise and influence decision making within own area of expertise.
* Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
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.
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