London - Quant Graduate Program - Data and Artificial Intelligence Lab

BNP Paribas Global Markets provides cross-asset investment, hedging, financing, research and market intelligence to corporate and institutional clients, as well as private and retail banking networks. Global Markets' sustainable, long term business model seamlessly connects clients to capital markets throughout 38 markets in EMEA, Asia Pacific and the Americas, with innovative solutions and digital platforms. Through Global Markets, clients can access a full universe of opportunities in equity derivatives, foreign exchange and local markets, commodity derivatives, rates, primary and credit markets and prime solutions and financing.

The Quant Graduate Program is designed to provide you with first-class training and immediate responsibility. You will participate to a 6 weeks Bootcamp before moving into a full-time role within the Lab. As a graduate you will have access to a number of workshops, in-house training and networking events. You will also be assigned a mentor to help you with your career development.

The role of our 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’ll 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

What we offer:

-          The means to succeed: we are investing €3 bn in our digital revolution as we aim to become the most efficient and cutting-edge digital capital market house in the industry!

-          You will be working with a multi-disciplinary team of over 200 talented quantitative researchers, computer scientists, statisticians and engineers.

-          The opportunity to work on complex and massive challenges – BNPP is constantly accumulating a massive amount of data and market conditions can change in a few milliseconds!

-          The ability to witness the delivery of your work as it will quickly move to production and impact thousands of employees of BNPP on a daily basis.

What we’re looking for:

• 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 (SAL, Oracle, MangoDB…) and with dealing with Big Data environment (Hadoop, Spark)
• Delivery-driven mindset
• Relevant internships in industry applying Machine Learning techniques and successful participation to Kaggle challenges are a plus

Closing Date:  17th February 2018

Location: London 

Salary: Competitive