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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.

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).

Job Purpose

The role is designed to support the Graduate in developing skills and experience in Global Markets GM Lab activities.

What you will do

  • Intermediate/ developing professional accountable for the delivery of often complex but routine activities within the Data and AI Lab research team within Global Markets at BNP Paribas.
  • Develops and adapts existing AI/Machine learning methodologies, such as: o Features engineeringo Model calibration/fine-tuningo Loss engineeringIn order to improve the performance of relevant models or adapt them to a new type of inputs.
  • Works under own initiative and is beginning to support other more junior staff within the team with tasks.
  • Maintains open communication with the team and direct line management to fulfil firm notification requirements and pass on client concerns.

Technical skills required

  • Professional qualification and education (i.e. a minimum of Master’s degree level) in machine learning, mathematics, statistics, physics, engineering or finance / econometrics or a PhD in another science or engineering field, with an interest in data science is required with some additional experience where relevant. Qualification through extensive experience in a relevant technical area is acceptable.
  • Knowledge of quantitative finance and options (knowledge of stochastic calculus and structured/exotic derivatives is advantageous but not required).
  • Displays dedication & prioritises problems by considering the impact on the business; identifies quick-wins.
  • Excellent business relationship management and development skills.
  • Effective communicator who can deliver complex and clear information or messages, both oral and written.
  • Experience in using financial information systems – e.g. Bloomberg and in-house risk/pricing tools.
  • Strong programming skills especially in Python but an additional programming language is a plus (e.g. SQL, C++, Java, R or other equivalent).

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 1 Graduate Programme (or 1 Summer Internship Programme) per recruitment year.
  • Successful candidates for this role must be based in London from the start of their programme.
  • Candidates are encouraged to submit their application as soon as possible to avoid disappointment.

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.