Bank Overview
BNP Paribas is a leading bank in Europe with an international reach. It has a presence in 83 countries, with nearly 183,000 employees globally, including around 145,000 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
Global Markets is BNP Paribas’ capital markets business within the Corporate & Institutional Bank (CIB), delivering solutions across asset classes, and industry-leading services for clients including Institutional, corporate, private banks and retail distribution networks.
Global Markets encompasses seven global business lines; G10 Rates, Equity Derivatives, Forex & Local Markets, Commodity Derivatives, Credit, Prime Solutions & Financing and Primary Markets, helping their franchise of clients find effective ways to raise and invest capital as well as manage their exposure to risk.
Global Markets is made up of over 3,700 staff globally based in EMEA, the Americas and Asia Pacific, with the main trading floors located in London, Hong Kong, New York, Paris, Singapore and Tokyo.
Key Responsibilities of Role
In this role, the candidate will:
• Help to design and develop algorithmic pricing, quoting, risk management and execution tools to help FXLM spot 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.
Experience, Qualifications & Competencies
• 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);
• Interest in financial markets, economics and quantitative finance;
• Delivery driven mind-set;
• Strong interpersonal skills and proactive approach to problem solving;
• Ability to work under pressure and multi-task;
• Strong organizational skills;
• Team Player.
Preferred
• Data manipulation and database experience.
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.
