Paris/London - Long Term Internship - Global Markets - AMM Trading 2019
BNP Paribas Corporate & Institutional Banking (CIB) is a leading European investment bank with global leadership in many of our businesses. We are part of the BNP Paribas Group, a financial institution with solid foundations and a proven ability to adapt to change. If you are thinking about a career in investment banking, there is no better place to begin your journey than with BNP Paribas CIB. With nearly 20,000 employees in over 50 countries, we can offer you an exciting start to your career.
Global Markets is BNP Paribas’ capital markets business, delivering investment solutions across a wide range of asset classes and industry-leading services.
As world leader in derivatives, BNP Paribas Global Markets offers clients tailored products, state-of-the-art trading, processing systems, research and strategic advising from its teams of experts, while also maintaining a sustainable economic model.
The team and its projets :
The Automated Market Making team (AMM) is one of the strongest teams in market-making trading. The team includes over 60 people world- wide with a physical present in Paris, London, New York and Hong Kong. The business trades every liquid asset especially equities and derivatives.
Since the last few years, we’ve become one of the leaders in electronic market makers, contributing for 5% to 10% of market share. The success of such activity results in a high computer science level and a good quantitative development in every field from macros view (portfolio optimization, market risk model, future price prediction …) to microstructure view (tick to tick data, microstructure effect, lead lag …).
Interning in the team, you will be in charge of pursuing a full study of a topic subjected to our problematic and you will also responsible for proposing solutions and its implementations. As a member of our team, you will be in permanent discussion with traders in order to have a direct contact with the market, a key component to be successful in quantitative trading.
- We are looking for outstanding, high academic background students
- Showing interest in financial modeling, applied mathematics and computer science