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 Macro offers a range of products across FX, Rates and Commodities in both developed and emerging markets. Commodities trading platform is active across a wide range of cash, physical, futures and other derivative products in crude, gas, refined products, industrial metals/bulk, bullion, and power markets. Offering a wide range of hedging solutions for clients who are exposed to the price of physical commodities.
Purpose and scope of role
Purpose
To help with creating models relevant to the metals trading activity as well as industrializing the production of reports. The role will include extensive coding as well quantitative and data analysis.
Scope
Global scope.
Key responsibilities of role
- Studying the CTA flows in the market and building a picture around its effect on the price, volume and change in OI as it specifically relates to Metals market;
- Using the understanding developed above to build a BNP model on various time frames in order to forecast the flows and therefore the direction of the market;
- Study the feasibility of building a short term, cross asset correlation-based model to forecast algorithmic flows in the market their potential impact on the price, volumes;Improving our internal Python based tool which is used in creating various reports and curve marking;
- Building a tool that will parse chat conversations as well as data from BBG in order to monitor and eventually mark the forward curves systematically;
- Develop Gold/Silver/Copper CME options flow monitoring tool and tracking the changes on a live basis;
- Study Precious vol as an RV vs other asset classes (FX, Rates);• Develop tools to trade EFP more actively.
Experience, qualifications & competencies
Essential
- A minimum of a Masters or PhD in a quantitative subject such as Compute Science, Mathematics, Physics, Quantitative Finance or Engineering;
- Excellent programming skills (C++, Python, other equivalent);
- Data manipulation and database experience;
- Interest in financial markets, economics and quantitative finance.
Preferred
- Experience of electronic markets, models and arbitrage strategies is not a prerequisite but a strong plus.
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: 6-11 months
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.