- Company Name
- Keyrock
- Job Title
- Product Manager - Algorithmic Strategies
- Job Description
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**Job Title**: Product Manager – Algorithmic Strategies
**Role Summary**
Owns the vision, roadmap, and delivery of the Algorithmic Strategy Tooling squad. Translates trader and research requirements into production‑ready systems that scale market‑making, arbitrage, and basis strategies across centralized and decentralized exchanges.
**Expectations**
- Deliver high‑value, quant‑ready tooling that reduces strategy deployment latency and improves execution quality.
- Align product outcomes with business performance metrics (PnL attribution, fill efficiency, strategy velocity).
- Act as the bridge between quantitative trading, engineering, and business stakeholders.
**Key Responsibilities**
- Define product vision, roadmap, and prioritization for the strategy tooling platform.
- Collaborate with traders, quant researchers, and engineers to capture and refine requirements for market‑making, arbitrage, basis, and other systematic strategies.
- Translate strategy concepts into structured production frameworks: simulation engines, execution modules, signal orchestration, and monitoring dashboards.
- Design APIs, services, and data pipelines that integrate with order management, risk, and exchange connectivity components.
- Own product metrics (deployment latency, fill efficiency, PnL attribution accuracy) and drive continuous improvement.
- Champion product quality, scalability, and modularity in architectural discussions.
- Communicate technical and market concepts clearly to engineering, research, and business teams.
**Required Skills**
- Proven Product Management in algorithmic trading, market‑making, or crypto trading.
- Hands‑on experience managing or implementing codified trading strategies (crypto or high‑frequency).
- Strong technical understanding: exchange mechanics, order‑book microstructure, latency optimisation, execution algorithms.
- Proficiency in Python, Rust, or C++ and the software development lifecycle.
- Ability to collaborate with quants, traders, and infrastructure teams on simulation environments and trading systems.
- Familiarity with centralized (spot, futures) and decentralized (DEXs, AMMs) crypto markets.
- Data‑driven mindset: analytics, PnL attribution, performance measurement.
- Excellent written and verbal communication; ability to distill complex concepts for diverse audiences.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Mathematics, or related field.
- 4+ years of product management or technical trading experience, ideally in high‑frequency, proprietary trading, or crypto environments.
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