We have a tremendous opportunity to join an extremely successful Quantitative trading team focusing on complex computer science to enable highly efficient trading strategies.
This company have been one of the powerhouses of the buy-side arena for many years and pride themselves on having an exceedingly high standard of technologist who are capable of transitioning between technologies and want to be involved in highly distributed systems development. They are also heavily immersed in the OpenSource community with developers allowed free reign to import various frameworks into their work environment where it fits their current project.
They are currently looking for a number of people to join them and extend their trading operations through cutting-edge technical solutions. You will be sitting with Quants and Traders to help implement the Alpha strategy they have determined whilst also having the opportunity to contribute to that if you show a high level of competence.
- Strong experience with any OOP language but preferably Python.
- Experience of writing highly performant, robust and clean code for all manner of distributed and highly available systems.
- Flexible and highly stimulating environment
- Competitive compensation
- Generous holiday allowance
Please contact Samuel.Haydon@stanfordblack.com for more information.