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An established industry player is seeking a dynamic Data Engineer to join their successful quant trading team. This role offers a unique opportunity to work closely with traders and technologists, focusing on designing and maintaining a complex Python infrastructure. Candidates will thrive in a fast-paced environment, solving challenging technical problems while being exposed to cutting-edge technologies. With a culture that values collaboration and innovation, this firm provides an ideal setting for those eager to learn about automated trading and contribute significantly to the team's success. If you have a passion for data and technology, this position is perfect for you.
Summary
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