
Product Manager – Algorithmic Strategies
Keyrock
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇪 Belgium
Visit company websiteJob 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