London - Long Term Internship 2019 - Credit Quantitative Research

Europe
UK
London
Long Term Internship
Quantitative Research
Not applicable

Who we are

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.

The Global Markets Quantitative Research division is in charge of the modelling, pricing & risk management developments for the entire offering of products within the Global Markets activity. The team operates globally with representatives in London, Paris, Asia and New York and plays a critical role in providing innovative solutions.

This requires a strong and permanent cooperation with all CIB stakeholders, including Trading, Risk and IT, to ensure that all quant developments integrate optimally within the IT ecosystem, thereby ensuring the best deliveries to the business, while also providing optimal transparency and analytical tools to the firm’s control divisions

The Structured Credit Quant team is in charge of the credit derivatives modelling (Support of trading desks on pricing and hedging of complex products, Development and implementation of models used for pricing and risk management, including PL Explain and capital charges Tools, Contribution to Global Markets innovative projects, etc.)

What you will do

In London, within the Structured Credit team, we are looking for a junior quantitative analyst who will work alongside senior members of the team on 2 types of projects:

- Contribute to industrialisation effort of the credit platform:

• Integrating more products and risk measures to the electronic platform called SmartD

• Improve the Risk and P&L explain capabilities for the redit products with the aim to enhance risk management capabilities and ensure adequacy of tools with regulatory requirements

- Improve the Machine learning based platrom for the Credit repo desk:

 • Build new predictive models

 • Further automate the security lending platform (BOLIVATOR)

 

What you will get

• Quickly gain exposure to Credit and Repo asset classes traded by BNP Paribas CIB

• Have the opportunity to work on a pricing and risk analytics library using a variety of languages

• Have the opportunity to help improve our system by leveraging on data analytics

• Gain an understanding of pricing, risk, P&L explanation and VaR models as well as how changes in the regulatory landscape is reflected in the bank’s activity

• Work with a wide range of stakeholders including trading, IT, and group risk management

 

Technical skills required:

  • Students looking for a Gap Year from an Engineering School or a Top UK university are encouraged to Apply
  • Masters or PhD in a quantitative subject such as Computer Science, Mathematics, Physics, Quantitative Finance or Engineering would be a plus
  • 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

 

- Start Date: ASAP

- Duration: 11 months

- Salary: Competitive

- Location: London