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# Quantitative Developer

- **Company:** BlockTech
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Algorithmic Trading, C++ (Programming Language), Computer Programming, Continuous Integration, Data Infrastructure, Python (Programming Language), Backtesting, Software Engineering, Information Technology, Low Latency, Performance Monitor, Software Version Control, Data Pipelines
- **Published:** July 9, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=335c9f6d24fb45a6

## About the Role

* 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

## Description

This 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


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