Electronic Trading Associate - Expert Off Cycle Intern Programme - 2022
Barclays
Paris, France
il y a 1j

The team that delivers world-class solutions

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 :

Trading Models

Our quants are 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, valuation adjustments and the capitalisation of market and counterparty risk.

The ability to articulate your ideas will be crucial as you work closely with business partners to develop models and tools, and perform analyses to help guide business decisions, manage risk, formulate and test quantitative strategies, and drive revenue generation and capital utilisation.

Electronic Trading

Our quants are highly specialised quantitative traders, researchers, and data scientists responsible for developing, deploying and running algorithmic trading models and predictive analytics in markets, leveraging the latest methods in data science, machine learning, AI and applied probability.

They cover all aspects of data analysis, feature engineering, model research, signal research, model calibration and deployment, through to running live models, responding to requests for quotes, trade execution and statistical risk management on the book.

Quant Developer

Our quants are strong logical thinkers with a mathematical mindset, and an interest in Computer Science. They are problem solvers who can program in one or more of our languages (primarily Java, C++, and Python).

Individuals who enjoy the responsibility of writing critical routines in our hottest loops, as well as fault-tolerant processes where calculations cannot fail, will thrive.

You will be immersed in real world problems with immediate impact. Working with quants and technologists from different teams, you will build on your computer science expertise to help move abstract mathematical ideas into trading reality.

The chance to make an impact

As an intern, you’ll gain valuable exposure to real-world problems in our dynamic and invigorating environment. During your internship, you will have the chance to :

  • apply quantitative techniques to solve real-world business problems
  • research, develop and implement new models and solutions
  • improve our computing or data infrastructure.
  • How you’ll develop

    At Barclays, you’ll be surrounded by experts in the industry, who will help you achieve your goals and ambitions. Our collaborative, supportive environment gives you the chance to build solid relationships with senior leaders and peers alike.

    During the programme, you’ll also benefit from in-depth, comprehensive training.

    What’s more, this could be the beginning of an exciting and rewarding career. We offer full-time employment opportunities to those interns demonstrating excellent work ethic and technical competence upon the completion of their internship.

    To be considered for this program, you must :

  • currently be pursuing a Master’s degree or PhD with anticipated graduation year 2023.
  • Ideally, you would also have :

  • strong mathematical and programming skills (ideally in Java, C++, or Python)
  • strong analytical, mathematical, statistical and / or programming skills
  • clear communication skills and track record of collaborative team work
  • fluent written and spoken English.
  • Who thrives here :

  • creative independent thinkers with a knack for developing clever solutions and a formal skill-set for knowing how to apply them in the real world
  • those with a deep academic background who have a passion for bringing rigorous theory to unstructured problems
  • people who have an easy comfort with the foundational subjects (probability, statistics, analysis, mathematics, matrix algebra) as well as strong programming skills in Python
  • individuals who can champion their ideas with sharp communication skills and a teamwork mentality
  • experience as a quantitative trader or a front-office quant on a trading desk is desirable but not required.
  • It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, 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.

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