Leading, Boston-based, quant trading firm is seeking an Execution Developer to join their firm. You will be building the tools, platforms and algorithms that enable investment engines for multiple teams, driving forward their centralized global trading operation

Your challenges will be varied and might involve building new execution algorithms, the platforms on which they run, simulation environments, intelligent order routing, connectivity to execution venues and brokers, tools for high touch and quant traders, monitoring capability, post-trade performance analysis and software to optimize all aspects of the trading lifecycle.

The Team:

The team is currently undergoing a significant investment in order to rationalize the trading capability across multiple teams. The engineering team works exceptionally closely with both the Trading Desk and the Execution Research team in order to design, build and maintain a world-class trading capability. They have trading floors in London, Hong Kong, Boston and New York and are responsible for trading in excess of 5 trillion dollars annually.

About you:

You will be an expert software developer and ideally understand the financial markets with relevant electronic trading experience in at least one of the asset classes that we trade. You’ll be a member of a highly focused team with an exceptionally broad responsibility, so great communication skills and an ability to work as part of a team are a must.

In order to qualify:

• Expert proficiency in Java.
• Database / SQL skills.
• Great communication skills coupled with the ability to work closely with both technical and non-technical colleagues.
• A proponent of strong software engineering techniques and agile methods: continuous integration, code review, unit testing, refactoring and related approaches.
• Proficient working on both Linux and Windows platforms.

Advantageous:

• An excellent understanding of financial markets and instruments.
• Experience with FIX is a significant advantage.
• Experience working closely with Quants and/or Traders.
• Python knowledge.
• Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank.
• Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing.
• Experience of web-based development (TypeScript).
• Relevant mathematical knowledge e.g. statistics, asset pricing, time-series analysis optimization algorithms.