Software Engineer, Market Making
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Requirements
- Autofill with MyGreenhouse
Responsibilities
- 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 to ensure that systems are built with both immediate performance and long-term sustainability in mind.
- 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, ensuring clear alignment between engineering, business teams (trading, quants), and leadership, especially when discussing complex technical solutions or business goals.
- 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, ensuring that all solutions align with the company’s goals for scalability, performance, and security.
- Be a technical advocate for excellence, leading efforts to improve development processes, code quality, and overall system performance through best practices and knowledge sharing.
- Prioritize rapid iteration of trading algorithms to ensure maximum profitability, minimal risk, and fast execution, adapting quickly to volatile market conditions.
- 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.
- You possess an innate curiosity, and thrive on learning new technologies.
- 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).
Benefits
- 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.
- Budgets for learning & professional development
- Unlimited vacation policy; work hard and take time when you need it
- Apple equipment
- The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
- Flexible work culture
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