Colin Fang
Quant at Jump Trading LLC
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolColin Fang is a quantitative researcher and developer with 11 years of experience building high-performance models and trading systems, currently applying his hybrid research-and-development skillset at Jump Trading in London. Trained in mathematics at Cambridge, he has a strong foundation in algorithmic development, C++, Python, Spark, and large-scale data mining from roles at Gambit Research and earlier game-math modelling work. His background uniquely blends production-grade engineering (efficient binary tools and Monte Carlo verification) with statistical research, enabling rapid prototyping and robust deployment of quantitative strategies. Known for translating complex mathematical problems into optimized code, he also brings experience balancing product-level constraints from game design into financial modelling.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA), Mathematics, 2.1, Bachelor of Arts (BA), Mathematics, 2.1 at University of Cambridge
Github Skills (200)
cpython10
data-manipulation10
packing10
linter10
spellchecker10
ecosystem10
neural-network10
julia10
data-science10
distributions10
regl10
visualization10
mixed-integer-programming10
assemble10
python-bindings10
Programming languages (14)
Github contributions (5)
colinfang/markdown-julia
Nov 2017 - Apr 2020
Contributions:7 releases, 4 commits, 33 pushes in 2 years 5 months
colinfang/MiniLogging.jl
Nov 2017 - May 2020
A basic hierarchical logging system that is similar to "logging" in Python.
Contributions:2 releases, 4 commits, 7 PRs in 2 years 6 months
pythonhierarchicalloggingsimilar
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