Cookies — it's your choice

At Bright Network we use cookies and similar technologies to help deliver you the best possible experience. Some are necessary to help our website work properly and can't be switched off, and some are optional but support Bright Network in building and running the service that we provide to you.

Data we store

You can find out more in our privacy policy at any time by going to the link in our footer.

  1. Home
  2. Graduate Jobs
  3. Financial Services
  4. eFIC Quantitative Research Graduate Internship 2021
Lock Applications for this job are now closed
Closing soon

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 our e-FIC team.

The e-FIC Team carries out quantitative research in electronic trading of Fixed Income and Currency (FX) products. Its aim is to provide fully automated solutions for market making.

What you will do

Your role will include:

  • Helping to design and develop algorithmic pricing, quoting, risk management and execution tools to help automate BNPP’s FIC market making activities
  • Conduct research and analysis using historical datasets to develop models behind the automation tools
  • Interact with Trading, Sales and IT to ensure a timely delivery of projects to all interested parties’ standards
  • Continuously improve existing models to adapt to an ever changing market landscape

Technical Skills and Qualifications required for the role

  • A minimum 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
  • 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