Responsibilities
- Design, implement, and refine on-chain trading strategies, reducing latency to improve tick-to-trade to fill orders.
- Conduct thorough market analysis to identify trading opportunities, leveraging data from blockchain networks and decentralised exchanges.
- Build real-time, automated trading algorithms that interact directly with smart contracts and decentralised protocols.
- Leverage custom datasets and analytics tooling to guide model development and execution logic.
- Deploy robust risk frameworks to ensure capital efficiency and downside protection in volatile markets.
- Work closely with other traders, developers, and data scientists to enhance trading models, share insights, and drive collective success.
Requirements
- Excellent academic record from a highly reputable university, Masters or PhD preferred, in Mathematics, Physics, Operational Research or related fields of study.
- Minimum 8 years’ experience in Quantitative Trading, preferably in a market-making or latency-sensitive context. Quant Strats with Delta-Neutral, Delta 1, Vol, and Market Making background are desired too.
- Does not need to be Crypto, but they need to be willing to move into it.
- Strong programming skills in Python and TypeScript, Rust skills and experience will be highly advantageous. A familiarity with Solidity and smart contracts is a plus.
- Curiosity and conviction about crypto and decentralised markets, immediate experience in crypto is a plus, not essential, but a willingness to move into the space is.
- Excellent problem-solving skills, with a proactive approach to identifying and exploiting trading opportunities.
- Ability to quickly adapt to new technologies and evolving market structures, and to collaborate effectively in a fast-paced, team-oriented environment.