Algorithmic Trading Developer at Hedge Fund

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Domeyard is a start-up hedge fund based in Boston, MA. We deploy capital in a variety of asset classes, through the use of quantitative models and low latency trading strategies. 

Domeyard is expanding its team of developers and researchers. We are a fast-growing company: you will influence the early decisions of the firm and have the opportunity to lead a team of developers within months. Your code will often be deployed to handle substantial risk capital. As a developer, you will often work with cutting-edge libraries and protocols that are poorly-documented, and as a researcher, you will often perform self-directed research. Feel free to show us any work that demonstrates your day-to-day interest in coding / science - we would love to see your academic publications, GitHub projects or StackOverflow answers. No financial experience is required. 

Our firm has a flat structure and a casual dress code, and your starting salary will be no less than those of the founders. You will enjoy both the perks of joining a hedge fund partnership as well as those of a startup founding team. You will have the opportunity to travel and meet industry leaders, and will receive health and dental coverage. We welcome cultural diversity and are able to sponsor H1-B visas. 

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Responsibilities:

• Implementing software for low latency trading.

• Designing message-oriented middleware and internal APIs to publish-subscribe platforms and

databases.

• Integrating external protocols and APIs with our infrastructure.

• Identifying and managing performance bottlenecks.

• Developing tools (e.g. numerical libraries, GUIs) to improve research productivity.

Preferred qualities:

• Background in computer science, physics, mathematics, or a related engineering discipline. • Proficiency with C/C++ in a UNIX environment.

• Experience with low-level optimization (e.g. memory hierarchy, instruction set architectures,

lock-free algorithms, bus overheads, profiling) and multi-core parallelism.

• Knowledge of operating system internals (e.g. network stack, timers, scheduling, interrupt

handling, virtual memory, file systems) and kernel source. • Elegant coding style and good taste in API design.

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne