Alex Cross
Quantitative Researcher
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolAlex Cross is a Quantitative Researcher at IMC with 11 years of industry experience applying optimisation, machine learning and rigorous software engineering to financial problems. A First-Class Physics master’s from Cambridge and a Distinction in the CQF underpin a career that progressed from quantitative analyst to Head of Quantitative Development at Insight Investment. He is an expert programmer across Python, C#, C++ and Rust, with a track record of building reliable, test-driven systems—evidenced by contributions to Accord.NET where he added and optimized unit tests for core matrix operations. Passionate about reinforcement learning, he built a chess bot from scratch using RL and deep networks, reflecting a blend of research curiosity and production discipline. Based in Amsterdam, he combines academic rigor with pragmatic engineering to turn complex quantitative ideas into robust trading and analytics code.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Physics, First, Master's degree, Physics, First at University of CambridgeCQF, Quantitative Finance, Distinction, CQF, Quantitative Finance, Distinction at CQF Institute
Github Skills (11)
unit-testing10
application-framework10
app-framework10
web-framework10
csharp10
dotnet-core10
netframework10
machine-learning8
statistics8
computer-vision7
image-processing6
Programming languages (5)
Github contributions (5)
accord-net/framework
Aug 2017 - Oct 2017
Machine learning, computer vision, statistics and general scientific computing for .NET
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:76 commits, 15 PRs, 12 pushes in 2 months
Contributions summary:Alex primarily contributed to the project by adding unit tests for mathematical functions, specifically focusing on matrix and vector operations within the Accord.NET framework. Their work involved writing tests for Kronecker products, outer products, and other matrix operations, as well as optimizing existing methods. The user also added failing tests to illustrate problems, indicating a focus on test-driven development and ensuring code correctness.
computer-visiondotnetmachine-learningscientific-computingstatistics
CatchemAL/Doddle
Feb 2022 - Nov 2022
Make Wordle a Doddle
Contributions:6 releases, 1 review, 372 commits in 10 months
wordlepythonwordle-solver
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