Daniel Cook

Founder

Greater London, England, United Kingdom14 yrs 7 mos experience
Highly Stable

Key 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.
Stackforce AI infers this person is a Fintech expert specializing in high-frequency trading and algorithmic strategies.

Contact

Skills

Core Skills

High Frequency TradingRisk ManagementLow LatencyTrading Systems

Other Skills

ADRsArbitrageCore JavaETFsElectronic Trading SystemsEngineering ManagementEquitiesExchange ConnectivityExecution Management SystemsFIXJavaMachine LearningMarket DataMathematical ModelingProduct Management

About

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.

Experience

Episode capital

Founder

Nov 2021Present · 4 yrs 4 mos

Tower research capital

Quantitative Trader

Feb 2020Nov 2021 · 1 yr 9 mos · London, England, United Kingdom

  • Generating alpha in ETF markets across US & Asia
High Frequency TradingRisk Management

Drw trading group

Lead Software Engineer

Feb 2011Aug 2019 · 8 yrs 6 mos · London, United Kingdom

  • Technical lead for European Equities and Delta 1 desk at DRW trading group. Responsible for researching, building, managing, and tuning a growing number of low latency trading systems.
Low LatencyTrading Systems

Education

Imperial College London

PhD (did not complete) — Machine Learning

Jan 2009Jan 2011

Imperial College London

MSc — Computer Science (Machine Learning)

Jan 2008Jan 2009

Duke University

Bachelor of Science (B.S.) — Computer Science & Economics

Jan 2004Jan 2008

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