Overview We’re partnered with an innovative technology company based in Zurich that’s building advanced infrastructure for systematic crypto trading. Our client leverages machine learning (ML), LLM-powered tools, and real-time blockchain data to enable fully automated strategies across centralized and decentralized exchanges. They are looking for experienced Quantitative Developers to strengthen their core systems. This is a full-time role with full remote flexibility.
What You’ll Do:
Build infrastructure for ML- and agent-powered automation across research, signal generation, and execution.
Develop scalable, real-time data pipelines across CEXs, DEXs, and on-chain environments.
Integrate and scale LLM-based tooling for intelligent orchestration of crypto-native workflows.
Work closely with researchers to translate models and signals into production-grade Python systems.
Unify exchange APIs and blockchain data into a single research and deployment platform.
Design modular systems optimized for multi-strategy, multi-venue environments.
Create dashboards and tools for performance analytics, scenario testing, and live trading support.
What You Bring:
Strong programming skills in Python and experience building distributed or data-intensive systems.
Hands-on exposure to ML ops, autonomous agents, or crypto-specific backtesting infrastructure.
Understanding of crypto markets and products (spot, perpetuals, options) and multi-venue connectivity.
Demonstrated ability to deliver and support live trading infrastructure.
Experience working with LLMs, blockchain data, or smart contract interactions is highly valued.
Interest in scaling next-gen ML-driven crypto systems in a high-performance environment.
Due to the high volume of applications, only shortlisted candidates will be contacted. For further inquiries or to apply for similar positions, please submit your updated CV to Hugh.Telford@CodeCompass.co.uk
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