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Working with a leading high-frequency trading firm, you'll join one of their most successful quantitative trading teams. This company combines the positive feel of a start-up with the benefits of an established player, offering a dynamic environment where technology is central to their continued success.
The Role
- Design, write, and maintain complex Python infrastructure
- Collaborate extensively with traders and other technologists
- Solve difficult technical problems in a fast-paced and energetic environment
- Focus on robust, scalable, fault-tolerant processes with high-availability, high-throughput, and low-latency solutions
- Be exposed to cutting-edge technologies within the front office
- Learn about automated electronic trading
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What You'll Need
- Excellent problem-solving skills and ability to make sound engineering decisions
- Solid knowledge of Python and Linux (C++ preferable)
- Self-directed and able to manage multiple projects
- Interest in data, development, and automated electronic trading
- Bachelor's degree (or higher) in Computer Science or Computer Engineering (or equivalent)
- Interest in sports / sports betting is advantageous
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What's On Offer
- Competitive base salary and bonus, with flexibility for the right candidate
- Flexible with work-from-home arrangements
- Collaborative and rewarding work environment and culture
- Free breakfast, lunch, and dinner
Apply via Haystack today!
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Skills
Python
Linux
C++
Data Engineering
Infrastructure Design
Problem Solving
Scalable Systems
Low-latency Solutions
High-throughput Systems
Fault-tolerant Processes
Location