About BlockTechBlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance.
Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production.
The roleThis is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live.
You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor.
You will
- * Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring.
- Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading
- Work closely with quantitative researchers and traders to get new models live quickly and safely
- Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high
- Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor
What We're Looking For
- * 2+ years of software engineering experience, with a track record of shipping production-grade systems
- A strong academic foundation in a STEM discipline (computer science, mathematics, physics, engineering, or similar)
- Strong programming skills in Python and ideally Rust and/or C++.
- Solid software engineering fundamentals: clean, testable, maintainable code, version control, testing, and CI/CD
- The ability to collaborate with researchers and traders and translate research code into production systems
- Clear written and verbal English
Strong Pluses
- Experience building or maintaining trading, backtesting, or data infrastructure
- Familiarity with market microstructure, or an interest in learning how trading systems work end-to-end
What's in it for you?
- * Real ownership and a direct line to live PnL. Research, engineering, and trading happen a few metres apart, with the shortest feedback loops in the industry.
- Competitive base salary plus a very attractive performance-based bonus tied to individual and company results
- For strong performers, the opportunity to buy into the trading fund
- A floor of strong peers and minimal bureaucracy between a good idea and production
- Annual learning & development budget and an in-house training program
- Pension plan, company laptop, and reimbursement of home internet costs
- Gym membership reimbursement and sports during working hours (kickboxing, CrossFit, fitness, soccer)
- Daily breakfast and warm lunch, with snacks and drinks throughout the day
- Regular socials: weekly Friday drinks, monthly outings, quarterly sports competitions, bi-annual trips abroad
- For internationals: an all-in relocation package and Dutch classes
Our cultureAt our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.
In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.
We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.
Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.
