Quantitative Developer

Division

💻 Technology

Location

🌎 Remote

Role Type

🌕 Full Time

Blackrose is hiring a C++ engineer to join our team which covers our proprietary trading technology. The dev team works closely with the quant researchers to turn ideas into reality using the most appropriate technology. The team is responsible for everything from interpreting the flashes of light arriving encoding market data to dispatching flashes of light to indicate our orders. This unusually wide scope gives us the ability to make cross-domain optimisations unavailable to our competitors.

We're not serving up adverts, or worrying about user acquisition metrics, or building software for a faceless third party - everything we build is for our own use, and we use what we build to trade over $100 million worth of assets every day, in a completely automated manner.

Requirements:

- You should have a strong knowledge of modern C++ (C++11 onwards). We use a lot of modern C++ (we have the advantage of a completely post-2011 codebase) and have been eager to adopt features from C++17/20 as soon as they are released.

- We expect a strong understanding of what really is going on inside a computer when your code is running, for example caching, paging and system calls, as well as how these work and why they work like that.

- You should have a good familiarity with common algorithms and data structures and their performance trade-offs, as well as the ability to reason about the running time of algorithms that you haven’t seen before. Although traditionally this would be covered in a computer science degree most of our existing team are self-taught, so a computer science degree is not necessarily a prerequisite.

- You will often have to work independently designing complex systems that need to run uninterrupted for long periods of time, so practical experience designing and implementing software systems is a plus.

- All of our development is in a Linux environment, in fact many of us run Linux on our desktops also, so familiarity with the Linux command line and common tools is a plus.

- Prior finance knowledge is not required.