Keyrock

Product Manager – Algorithmic Strategies

Keyrock

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇪 Belgium

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Job Level

Mid-LevelSenior

Tech Stack

PythonRust

About the role

  • Own the product vision, roadmap, and execution for the Algorithmic Strategy Tooling squad, enabling rapid development and deployment of quantitative strategies.
  • Collaborate closely with traders, quantitative researchers, and engineers to define system requirements for market making, arbitrage, basis, and other algorithmic strategies.
  • Translate high-level strategy concepts into structured, production-ready tooling including simulation frameworks, execution engines, signal orchestration, and monitoring.
  • Partner with engineering to design APIs, services, and data pipelines that integrate seamlessly with order management, risk, and exchange connectivity layers.
  • Prioritize initiatives that improve strategy velocity, reliability, and performance across centralized and decentralized exchanges.
  • Define key product metrics such as strategy deployment latency, fill efficiency, and PnL attribution accuracy, and use them to drive iteration.
  • Act as the internal product advocate, aligning business goals, trading performance objectives, and engineering constraints.
  • Contribute to long-term architecture discussions to ensure scalability, modularity, and maintainability of strategy infrastructure.

Requirements

  • Proven track record as a Product Manager or Quant Developer in algorithmic or systematic trading, market making, or crypto trading.
  • Must have hands-on experience implementing or managing codified trading strategies, ideally in crypto or high-frequency environments.
  • Strong technical understanding of exchange mechanics, order book microstructure, latency optimisation, and execution algorithms.
  • Solid grasp of Python, Rust, or C++, and the software development lifecycle, able to discuss implementation details with engineers and quants alike.
  • Experience collaborating with quant researchers, traders, and infrastructure teams to define and deliver trading systems or simulation environments.
  • Familiarity with crypto markets across both centralized (spot, futures) and decentralized venues (DEXs, AMMs).
  • Data-driven mindset with comfort in analytics, PnL attribution, and strategy performance measurement.
  • Bonus: understanding of capital allocation systems, portfolio optimization, and risk overlays for multi-strategy trading.
Benefits
  • Competitive compensation package (salary plus performance-based bonus)
  • Flexible hours and remote-friendly setup
  • The opportunity to shape next-generation trading infrastructure and collaborate with top quantitative and engineering talent
  • A fast-moving environment where autonomy and impact go hand in hand

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonRustC++algorithmic tradingsystematic tradingtrading strategiesexecution algorithmslatency optimisationdata pipelinessimulation frameworks
Soft skills
collaborationproduct visioncommunicationprioritizationadvocacyanalytics mindsetproblem-solvingalignment of business goalsiterationscalability