LSEG's Quantitative Services team is responsible for the development of ORE, its dependent services, and implementation of ORE in major financial institutions to deliver transparent, state-of-the-art risk management. The internship aims to provide interns with an understanding of this work.
Requirements
- A good understanding of at least Python or C++
- Familiarity with Git, LaTex, is ideal but not essential
- Having functional knowledge on stochastic models/SDEs, e.g. Ornstein-Uhlenbeck/Hull-White model, Black-Scholes model, etc.
- Knowledge of financial derivatives and pricing techniques, e.g. finite difference, Monte Carlo Simulation, etc.
Responsibilities
- Contributing to the development of Open-Source Risk Engine (ORE).
- Supporting the infrastructure for the IM Risk Generation (IMRG) service.
- Pricing client portfolios and performing stress-testing and backtesting using ORE
- Utilizing ORE to calculate risk (VaR, SIMM, etc.) on client portfolios
- Translating client portfolios into the ORE XML format.
- Collaborating with collateral management and risk teams to build financial applications
Other
- Interest in Quantitative Finance, demonstrated through studies, projects or independent work
- Someone who can collaborate with others, using their communication skills in the process.
- A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
- Ideal candidates will have the rights to work in USA without restrictions for the duration of the internship programme
- be in the penultimate year of your undergraduate or final year of an Undergraduate degree and plan to continue onto Masters for academic year 2026/27
