Responsibilities

• 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.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Mathematics, or a related field.
• 4+ years of experience in product management or technical trading roles, preferably within a high-frequency, prop trading, or crypto environment.
• Deep curiosity for markets and technology, a builder mindset with the ability to bridge traders’ goals and engineers’ realities.
• Excellent written and verbal communication skills, able to distill complex system or market concepts for diverse audiences.
• Strong sense of ownership, prioritization, and delivery in fast-paced, high-stakes environments.
• Collaborative, pragmatic, and able to navigate between research, infrastructure, and operations teams.

Offer

• 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