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As a Software Engineer on our Cryptocurrency Trading Platform, you will take on a role in shaping the direction of our technology while working closely with the trading team and quantitative analysts (quants). You will collaborate with business stakeholders to design and implement systems that meet real-time trading demands, improve market efficiency, and support advanced trading strategies. You’ll be a technical advocate for excellence and lead by example in fostering a culture of high standards, agility, and innovation within the team. The role is based in London and the team is international.
Job Responsibility:
Design and optimize low-latency trading systems in Rust that power algorithmic trading strategies and support real-time execution in the volatile crypto market
Design and implementation of trading algorithms, optimizing liquidity management, price discovery, and slippage reduction in dynamic market conditions
Promote best practices in software engineering, advocating for clean, scalable, and maintainable code
Collaborate with cross-functional teams, to quickly adapt the trading platform to new data, market conditions, and business needs
Communicate effectively with both technical and non-technical stakeholders
Ensure high availability, reliability, and scalability of trading systems while maintaining a sharp focus on performance and testing
Drive technical decision-making and contribute to high-level architecture discussions
Be a technical advocate for excellence, leading efforts to improve development processes, code quality, and overall system performance
Prioritize rapid iteration of trading algorithms to ensure maximum profitability, minimal risk, and fast execution
Requirements:
Extensive experience in Rust and/or C++, building high-performance, low-latency systems in complex environments such as cryptocurrency trading or financial services
Strong background in trading (ideally cryptocurrency trading), with experience in market-making, arbitrage strategies, and order execution in fast-moving markets
Proven experience iterating quickly on algorithmic strategies, adapting to market dynamics and optimizing performance in real-time
Proficiency in Python for backtesting, scripting, and analysis, along with SQL for managing large-scale data systems
Strong focus on performance optimization, identifying bottlenecks, and improving throughput in high-frequency, low-latency real-time systems
Excellent problem-solving skills with the ability to think critically about complex challenges and drive technical solutions forward
Experience with containerization (Docker) and deploying scalable, high-performance trading systems in cloud environments (AWS)
Nice to have:
You possess an innate curiosity, and thrive on learning new technologies
What we offer:
Full-time salary based on experience and meaningful equity in an industry-leading company
Hybrid model working from home & our office in Central London (SoHo)
Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year
ClassPass
Budgets for learning & professional development
Unlimited vacation policy
Apple equipment
The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
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