Lead Trading System Engineer Location: Remote overlap with European and US market hours (09:00–22:00 CEST / 3 AM – 4 PM EST) Who We Are We are a cutting-edge quantitative hedge fund dedicated to driving superior investment performance through technology and innovation. Our focus is on combining state-of-the-art software engineering with advanced quantitative research, building systems that allow our team to execute thousands of trades per week with precision and speed. Our approach is agile, iterative, and data-driven, with a strong focus on collaboration between engineers, quants, and management. What We Do We design and operate a high-performance trading platform that connects to multiple brokers and exchanges worldwide. This platform is at the heart of our business, handling everything from order management and execution optimization to performance simulations and reconciliation between modeled and real-world trades. In other words, it’s the engine that keeps our trading strategies running smoothly, reliably, and profitably. Why We Do It (Our Mission) Our mission is simple yet ambitious: to leverage technology and quantitative models to maximize market opportunities while reducing execution costs and slippage. By continuously improving the quality of our trading systems and processes, we aim to deliver consistent, superior results for our investors and clients. How We Do It Building scalable and fault-tolerant systems in Python and AWS. Iterating fast: we start simple, measure impact on execution, and improve based on real data instead of overengineering. Using best practices like unit testing, clean code, and reusable components to ensure stability and minimize downtime. Collaborating closely across teams to optimize every aspect of the trading lifecycle. Who Works With Us You’ll be joining a highly skilled and cross-functional team of quantitative researchers, developers, and trading professionals. Our team thrives on problem-solving and innovation, with a flat hierarchy where ideas are valued and rapid decision-making is encouraged. You’ll work directly with senior management and quants, ensuring your contributions have a direct, measurable impact on the company’s performance. Why This Vacancy Exists As our trading strategies grow and evolve, we need a technical leader to take ownership of our trading platform. This role was created to scale and optimize the systems that directly influence our trading performance and profitability. Who We Are Looking For We need a senior, hands-on engineer with a deep understanding of both software architecture and systematic equity trading. Must-Have Skills Python Expertise proven experience building complex, scalable systems. Quant Equity Trading Knowledge experience in systematic trading across global equity markets at funds with >$100M AUM, working with top-tier prime brokers (e.g., JPMorgan, Goldman Sachs). Order Management Systems (OMS) & Execution Management Systems (EMS) understanding of order routing, trade reconciliation, and algorithmic execution. AWS Proficiency hands-on experience with AWS services for deployment, storage, and observability. Engineering Discipline unit testing, clean code, and iterative design mindset. Strong Communication Skills fluent English, able to collaborate effectively across teams. Availability During Market Hours overlapping European and US market times. Nice-to-Have Skills Experience setting up and maintaining FIX connections with prime brokers. Knowledge of market microstructure and execution optimization techniques. DevOps experience with Terraform, Docker, Kubernetes, and CI/CD pipelines. What You’ll Be Doing Maintain and scale the core trading platform, integrating with brokers and exchanges through OMS, EMS, APIs, and custom data formats. Monitor live trading to ensure flawless execution and error-free order management. Collaborate with quants and management to continuously improve execution quality and reduce costs like slippage and transaction fees. Build and refine a trading simulation tool, reconciling simulated vs. real-world results. Design and implement components for order lifecycle management: bid/ask pricing, P&L estimation, and execution cost tracking. Develop robust, reusable Python code with a focus on performance and fault tolerance. Contribute to the architecture of new features, ensuring scalability and future-proof design. What We Offer Fully remote role with flexible work hours, aligned to European and US markets. Work with a world-class team where your contributions directly impact company performance. Opportunities to innovate and shape the platform architecture from the ground up. Competitive compensation with international contracts and performance-based rewards. A collaborative and transparent environment, free from bureaucracy and unnecessary processes. Our Hiring Process 1. Initial Interview introduction and alignment on skills, expectations, and goals. 2. Technical Discussion deep dive into your experience with trading systems and Python. 3. Practical Evaluation system design or problem-solving exercise (no endless coding tests). 4. Final Interview with leadership and key team members. 5. Offer Stage quick turnaround and clear terms. Why This Role Matters This is not just another engineering job it’s an opportunity to directly influence the P&L of a cutting-edge hedge fund. If you thrive in high-stakes environments, love building systems that move real money, and want to see your work make an immediate impact, this role is for you.