
12 Month Internship - Computational Finance
- London
- Training
- Full-time
- Work alongside experienced trading, risk management, and quantitative teams to refine and implement financial models.
- Gain practical experience with Supervised, Unsupervised, and Reinforcement Learning algorithm and implementation in Pytorch.
- Assist in the development of XVA implementation in the XVACCR Library and understand the AAD methods implemented in order to recognise XVA sensitivities to market data
- Propose and discuss various solutions to use neural networks in E Trading, RWA optimisation and to speed up XVA computation
- Help ensure all developments are efficient and accurate, providing timely support to users.
- Deepen your understanding of financial models and numerical techniques.
- You hold a Bachelor's or Master's degree (or equivalent) in Computer Science, Engineering, or a related field.
- You have experience with programming in C++, Python, and SQL.
- You are interested in further developing your skills in Computational Machine Learning Engineering, XVA modelling, and AAD techniques.
- You have strong problem-solving skills and a keen interest in financial engineering.
- You possess excellent communication skills and can collaborate effectively within a team.