Daniel Cook — Founder
High frequency trader of Crypto Derivatives. Previously ETFs and Futures, in EU, US and Asian markets. Black-box and grey box strategies. Machine learning. Taking, market-making, latency arbitrage, OTC trading, position and risk management, trading operations. Market data, exchange connectivity, strategy development, distributed systems. Python, Rust, C++, Java.
Stackforce AI infers this person is a Fintech expert specializing in high-frequency trading and algorithmic strategies.
Location: Greater London, England, United Kingdom
Experience: 14 yrs 7 mos
Skills
- High Frequency Trading
- Risk Management
- Low Latency
- Trading Systems
Career Highlights
- Expert in high frequency trading across multiple markets.
- Strong background in machine learning and trading systems.
- Proven track record in risk management and market-making.
Work Experience
Episode Capital
Founder (4 yrs 4 mos)
Tower Research Capital
Quantitative Trader (1 yr 9 mos)
DRW Trading Group
Lead Software Engineer (8 yrs 6 mos)
Education
PhD (did not complete) at Imperial College London
MSc at Imperial College London
Bachelor of Science (B.S.) at Duke University