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Quantitative Researcher - Algorithmic Trading (Crypto Markets)

Netherlands
Visa Sponsorship Relocation
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BlockTech seeks a Quantitative Researcher to develop and deploy ML-driven trading models for cryptocurrency derivatives and spot markets. The role involves end-to-end research, from hypothesis to live deployment, with direct impact on PnL. Candidates must have a strong quantitative background and Python/ML expertise.

Key Highlights
Own research from hypothesis to live trading models in crypto derivatives and spot markets
Collaborate with traders and engineers to deploy robust, production-grade ML systems
Work in a fast-paced, 24/7 algorithmic trading environment with short feedback loops
Key Responsibilities
Collaborate with traders to translate research insights into systematic trading strategies
Design, develop, and deploy models for price prediction, signal generation, execution, and anomaly detection using AI/ML techniques
Build and maintain robust trading, backtesting, and research infrastructure for rapid prototyping and safe production deployment
Monitor live model performance, diagnose decay, and iterate on deployed systems
Technical Skills Required
Python Machine Learning Time-Series Analysis
Benefits & Perks
Competitive base salary with performance-based bonus
Pension plan and company laptop
Reimbursement of internet costs at home
Nice to Have
Hands-on experience building and deploying ML models on time-series, forecasting, or anomaly detection problems
Familiarity with crypto markets, derivatives pricing, and/or high-frequency trading data

Job Description

BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems.Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter.We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further.
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