About the company
Founded in Belgium in 2017, Keyrock are cryptocurrency market makers building scalable, self-adaptive algorithmic technologies to support efficient digital asset markets. Through a combination of in-house algorithmic trading tools, high-frequency trading infrastructure and industry expertise, Keyrock provides unparalleled liquidity services to tokens, exchanges and brokerages within the cryptocurrency ecosystem. Keyrock operates with the vision of democratizing cryptocurrency liquidity through a strict dedication to transparency, operational integrity and regulatory compliance.
Job Summary
Job description
šOwn the product vision, roadmap, and execution for the Algorithmic Strategy Tooling squad, enabling rapid development and deployment of quantitative strategies. šCollaborate closely with traders, quantitative researchers, and engineers to define system requirements for market making, arbitrage, basis, and other algorithmic strategies. šTranslate high-level strategy concepts into structured, production-ready tooling including simulation frameworks, execution engines, signal orchestration, and monitoring. šPartner with engineering to design APIs, services, and data pipelines that integrate seamlessly with order management, risk, and exchange connectivity layers. šPrioritize initiatives that improve strategy velocity, reliability, and performance across centralized and decentralized exchanges. šDefine key product metrics such as strategy deployment latency, fill efficiency, and PnL attribution accuracy, and use them to drive iteration. šAct as the internal product advocate, aligning business goals, trading performance objectives, and engineering constraints. šContribute to long-term architecture discussions to ensure scalability, modularity, and maintainability of strategy infrastructure.
Background and experience
šProven track record as a Product Manager or Quant Developer in algorithmic or systematic trading, market making, or crypto trading. šMust have hands-on experience implementing or managing codified trading strategies, ideally in crypto or high-frequency environments. šStrong technical understanding of exchange mechanics, order book microstructure, latency optimisation, and execution algorithms. šSolid grasp of Python, Rust, or C++, and the software development lifecycle, able to discuss implementation details with engineers and quants alike. šExperience collaborating with quant researchers, traders, and infrastructure teams to define and deliver trading systems or simulation environments. šFamiliarity with crypto markets across both centralized (spot, futures) and decentralized venues (DEXs, AMMs).
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