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Referment

Quantitative Developer

Remote

England, United Kingdom

£ 160,000 / year

Full Time

10-03-2025

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Job Specifications

Referment is partnering with a regulated digital asset trading and technology firm specializing in market-making, OTC brokerage, and derivatives to hire a Quant Developer. This is a fantastic opportunity to join as an early hire in a newly formed quant trading team at a large, established market-making firm. As part of this team, you will have a direct and significant impact on building and scaling their new high-frequency trading (HFT) platform.

Key Responsibilities:
Focus on low-latency and ultra-low latency (sub-microsecond) strategies
Work on exchange connectivity and optimize research/simulator environments
Build and scale a cutting-edge HFT platform with a significant influence

One of the standout benefits of this role is the ability to work remotely, providing you with flexibility and a better work-life balance while still being part of a highly collaborative, growth-focused team. You’ll be able to contribute to high-impact projects from anywhere, making this role ideal for those seeking a dynamic opportunity with remote work options.

Key Requirements:
Strong programming talent with expertise in low-level development
HFT development experience, including a solid understanding of trading strategies, order books, and state machines
Proficiency in Rust (C/C++ experience is also accepted if you have worked with Rust)
Familiarity with crypto markets is a plus
This is an exceptional chance to make a substantial impact while enjoying the freedom of remote work.

About the Company

Referment is an innovative award winning recruitment business, built for the Financial Services sector, we use a peer-to-peer sourcing model to identify the best candidates for the right roles. Our approach to recruitment is aligned with creating a collaborative economy. We are focused on rewarding our network of expert referrers for recommending high quality people to us, so everyone benefits. This approach is much more effective and efficient at finding the best match between candidates and roles, allowing us to spend mo... Know more

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10-03-2025