Software Developer at Algorithmic Trading Hedge Fund Boston

Company Description

Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading. 

Job Description

**Bonus: Apply on our company website (takes 3 min) 

Setting New Thresholds for Modern Computing

Domeyard is seeking a Software Engineer to work with us on the cutting edge of financial technologies.   Every day is a learning exercise: you will explore the frontiers of computer science, in areas such as distributed systems, concurrency, operating systems, networks, computer architecture, data analysis and UI design. We develop and iterate quickly; you will have access to every line of code and can switch between many projects.

You must meet at least one of these minimum requirements:

• 5+ years of working experience in C/C++ in a UNIX environment.
• Demonstrated success in architecting low latency applications in C++.

Qualifications

In addition, here are some of the skills that we're looking for:

• Strong knowledge of software design patterns and best practices.
• Experience with parallel and distributed computing.
• Interest in a career outside large tech or financial firms.
• Experience collaborating on large software projects.
• Knowledge of financial trading systems (feed handlers, OMS, order execution, binary/direct/prop feeds, or FIX engines).

Additional Information

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