Quantitative Analytics Analyst and Associate Off Cycle Internship 2024 London London, England
Job description
Off-Cycle Internship Overview
Join us on an off-cycle internship for 3-6 months working within our Investment Banking, Markets, Corporate Banking or Quantitative Analytics business areas. Immerse yourself in our work and culture and gain invaluable insights into life as a Full-time Analyst with this longer internship.
Why Quantitative Analytics Off-Cycle Internship Programme?
If you join us as an off-cycle analyst, 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.
Applying to our programme means the opportunity to join one of our specialist teams, including:
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.
Statistical Modelling Quants
As a Quantitative Analytics Off-cycle Intern, you will be immersed in a dynamic and stimulating environment, offering invaluable exposure to real-world challenges.
Throughout your internship, you'll have the unique opportunity to apply cutting-edge quantitative techniques to address tangible business issues.
Your responsibilities will encompass researching, creating and putting into action novel models and solutions. Moreover, you'll be encouraged to embrace innovative technological strategies to enhance our computing and data infrastructure.
This experience will provide you with insight into the daily routine of a quant, as you support the advanced modelling needs of a world-renowned multinational bank. Engaging with diverse stakeholders across different bank functions and locations will further enrich your internship journey.
The chance to make an impact
As a Quantitative Analytics off-cycle analyst, 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 modelling 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 programme 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 programme, 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.
To be considered for this programme, you must:
- Either 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 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
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 of the many functions and opportunities of a global financial giant.
It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, protected veteran status, genetic information, or any other basis protected by law.
