Ian Green
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolIan Green is a Chief Product Officer and seasoned product-and-quant technology leader with decades of experience building and running electronic trading systems, having led global eFX trading and Fixed Income eCommerce at Credit Suisse and later founded and led technology firms including eCo Financial Technology. He combines hands-on engineering — contributing backend pricing and market-data work to Adaptive's ReactiveTraderCloud — with strategic product leadership across startups and large institutions. As founder of Crickles he applies algorithmic heart-rate analysis to athlete performance, and he’s supervised data-rich research at Warwick, showing a rare blend of academic collaboration and commercial delivery. Known for moving between designing software and running fully automated trading books, he excels at translating complex mathematical models into robust, real-time production systems. Based in London, he brings both operator experience running trading books and deep product craft in market-facing fintech.
6 years of coding experience
30 years of employment as a software developer
Mathematics, Mathematics, First Class Honours, Mathematics, Mathematics, First Class Honours at University of Warwick
Github Skills (16)
net10
finance10
asp-net10
javafx10
dotnet10
realtime10
csharp10
fxgl10
fxml10
dotnet-core10
apidoc9
interop9
api9
typescripts8
typescript8
Programming languages (1)
Github contributions (1)
AdaptiveConsulting/ReactiveTraderCloud
Sep 2019 - Sep 2019
Real-time FX trading showcase by Adaptive.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 3 PRs, 5 pushes in 3 days
Contributions summary:Ian primarily contributed to the server-side pricing components of the reactive trader application. Their work involved adding and integrating new market data adapters, specifically for the European Central Bank. They refactored the existing code by introducing a CurrencyPair class and improved the efficiency of API calls. The user also made enhancements to the timing and frequency of market data updates.
adaptiveexpresspwafinancereactjs
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