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London – Long Term Internship 2024 – Rates, Credit & FX Quantitative Research

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BNP Paribas

Aug 17

🚀 Off-cycle Internship


AI generated summary

  • The candidate for the London long-term internship at BNP Paribas must have a minimum of a Masters or PhD in a quantitative subject, excellent programming skills, experience in data manipulation, a strong interest in finance and economics, and preferably some knowledge of electronic markets and arbitrage strategies.
  • The candidate will be responsible for creating and implementing mathematical models and strategies for pricing and market making, supporting trading and sales teams, managing risk, assessing model suitability, and contributing to regulatory topics and risk management discussions.

Off-cycle Internship

Research & Development, Banking & FinanceLondon


  • 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.
  • We have open long term intern positions in the quant teams supporting our Business Lines (Rates, Credit and FX).
  • The Rates, Credit and FX quantitative research teams are responsible for the development of pricing and risk management models for Trading and Sales. They have daily exposure to structurers, traders, sales as well as our technology and risk management teams.


  • Mminimum of a Masters or PhD in a quantitative subject such as Computer Science, Mathematics, Physics, Quantitative Finance or Engineering
  • Excellent programming skills (C++, Python, Java, R or other equivalent)
  • Data manipulation and database experience
  • Interest in financial markets, economics and quantitative finance
  • Experience of electronic markets, models and arbitrage strategies is not a prerequisite but a strong plus

Area of Responsibilities

Research & Development
Banking & Finance


  • Creating and implementing the mathematical models and strategies used for pricing and market making
  • Support directly Trading, Sales and Structuring on a day-to-day basis by helping analyse specific trades/risks and applying the optimal pricing model
  • Pricing, risk management and relative value for flow, exotic and primary desks
  • Assessing the suitability of the models used by reviewing their assumptions, derivation, implementation and limitations
  • Responsible for best practices for PnL Explain and Predict globally
  • Involvement in key transversal regulatory topics such as FRTB or MIFID II
  • Interaction with risk teams for market risk capital models such as VaR, Stressed VaR, IRC, CRM or IMM.


Work type

Full time

Work mode