London - Long Term Internship 2025 - Prime Services – Automated Market Making

London, England, United Kingdom

12/13/2024

Bank Overview

BNP Paribas is a leading bank in Europe with an international reach. It has a presence in 73 countries, with more than 196,000 employees, including around 149,000 in Europe. The Group has key positions in its three main activities: Domestic Markets, International Financial Services (whose retail-banking networks and financial services are covered by Retail Banking & Services) and Corporate & Institutional Banking, which serves two client franchises: corporate clients and institutional investors.

BNP Paribas Corporate and Institutional Banking is a globally recognised leader offering capital markets, securities services, financing, treasury and advisory solutions.

Business Area/Dept Overview

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.

AMM work is ranging from building electronic market making strategies, algo design, execution strategies to provide liquidity internally and externally on large range of products and subsequently hedging risk inherited from internal and exchange flows.

Key Responsibilities Of Role

AMM (Automated Market Making) work ranges from building electronic market making strategies, algorithm design, execution strategies to provide liquidity internally and externally on large range of products and subsequently hedging risk inherited from internal and exchange flows. The day-to-day job is highly quantitative, and technology driven.

In this internship, the intern will understand the process of portfolio optimization in dynamic environment and predict the stock returns in different horizons with effective applications of Machine Learning methods. The intern will also 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.

The internship covers different aspects of analysis, research, and development:

• Research on new quantitative strategies and back-test them.
• Bring new strategy to production environment.
• Improve current strategies or signals.
• Follow the latest quantitative techniques (research papers, corporate intelligence…)
  
  

Experience, Qualifications & Competencies

• A minimum of a Masters or PhD in a quantitative subject such as Statistics, Computer Science, Mathematics, Physics, Quantitative Finance or Engineering - 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.
• Delivery-driven mindset.
• Interest in financial markets, economics and quantitative finance;
• 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.
  
  

Duration: 6 months

Salary: Competitive

Location: London

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.