BNP Paribas’ Global Markets business offers a broad range of products and services in the global interest rates, credit, currency, equities & commodity markets. Global Markets help their franchise of clients find effective ways to raise and invest capital as well as manage their exposure to risk. Their client base comprises of hundreds of corporations, institutional investors, banks, governments and supranational organizations.
Global Markets has the scale and reach to conduct business anywhere in the world and deliver products denominated in almost all of the world’s currencies. Their global network comprises more than 3,000 professionals working on our six main trading floors in London, Hong Kong, New York, Paris, Singapore and Tokyo. They are supported by regional offices throughout Europe, the Americas, Middle East and Asia-Pacific.
We have open long term internships in the Data and A.I Lab. The role of our Data and A.I Lab is to use the latest techniques of Machine Learning, Artificial Intelligence and Natural Language Processing to help Global Markets do a better job. For this, we need to leverage the huge amount of both internal and external data we are accumulating daily, whether it is structured (Market and Trade data) or unstructured (Chats, Voice conversations, Social Media and alternative data).
What you will do
- Using the latest techniques of Machine and Deep Learning to build models for our trading and sales activity leveraging internal and external data to improve the service we give to Clients while managing tightly the risk associated to those products;
- Build our next generation of Natural Language Understanding interface (Speech to Text and Chat to Systems) across all business lines;
- Participate in the design and development of our core research projects such as unsupervised classification of the various market participants behaviour, sentiment analysis in chats or new and improvement of the market making in low or high frequency;
- Be able to innovate freely, Introducing new techniques or technologies if needed.
Technical skills required
- Strong education in Statistics, Maths or Computer Science (Master or PhD level): we are not just looking for people who know how to use machine learning techniques, but for people who understand how it works inside the black-box;
- Strong knowledge of Machine Learning techniques (classification, regression, natural language processing via standard statistical models or neural network);
- Good programming skills, preferably Python;
- Good knowledge of Databases (SQL, Oracle, MongoDB…) and with dealing with Big Data environment (Hadoop, Spark);
- Relevant internships in industry applying Machine Learning techniques and successful participation to Kaggle challenges are a plus;
- Delivery-driven mindset;
- Strong interpersonal skills and proactive approach to problem solving;
- Ability to work under pressure and multi-task;
- Strong organisational skills;
- Team Player.
Conduct
- Be a role model, supporting and fostering a culture of good conduct;
- Demonstrate proactivity, transparency, and accountability for identifying and managing conduct risks;
- Consider the implications of your actions on colleagues.
Please note
- You may only apply for up to 4 long term internships per recruitment year.
- Successful candidates for this long term internship must be based in London from the start of their role.
- Please discuss the available start dates with your interviewers.
Unsuccessful candidates’ CVs will be shared with other teams within BNP Paribas Global Markets and considered for potentially suitable roles. In this way we hope to maximise opportunities for candidates and hiring teams. By submitting your CV for this role you agree to it being shared securely with other hiring teams within BNP Paribas Global Markets for the relevant recruitment round.
