Data Engineer – Hft

The positive feel of a start-up with the benefits that come with a more established player, this leading HFT firm is looking for a dynamic software engineer to join one of their most successful quant trading teams. Collaborating extensively with traders and other technologists, you’ll design, write and maintain a complex Python infrastructure. This role is as front office as developers come within the firm without being a Quant.

The ideal candidate will be passionate about: data, development, and keen to learn about automated electronic trading. They are very keen to see people with an interest in sports / sports betting. You will be expected to solve difficult technical problems in a fast-paced and energetic environment, with a focus on processes that are robust, scalable and fault-tolerant. Most problems require high-availability, high-throughput and low-latency solutions.

The trading team see technology as a key component of their continued success and candidates will be exposed to cool, cutting-edge technologies.

Financial experience is not essential; just an eagerness to learn, and learn quickly.

Requirements

• Excellent problem-solving skills, ability to make the right engineering decisions to achieve maintainability, extensibility and debuggability
• Solid knowledge of Python and Linux (some C++ preferable)
• Self-directed; able to take ownership of several projects at once
• Knowledge of SQL, Redis, InfluxDB is a bonus
• Bachelor’s degree (or higher) in Computer Science or Computer Engineering (or equivalent)
• An interest in sports / sports betting is advantageous

• Competitive base salary + bonus; they will pay leading market rate / are flexible for the right candidate
• They’re willing to be flexible with WFH
• Collaborative and rewarding work environment and culture
• Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.