Louis Huynh
Software Engineer at Citadel Securities
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolLouis Huynh is a software engineer with a decade of global financial markets experience, blending quantitative finance, Python development, and data engineering. He currently serves as Software Engineer, Data Engineering at Citadel Securities, building scalable data pipelines and analytics in a high-stakes trading environment since 2021. Previously, he served as VP Software Engineer and Regional Lead for Global Energy Technology at JPMorgan Chase & Co, and as VP Quant Analyst and Equity Structuring Group lead at Deutsche Bank across Asia and Global Markets. He has formal training including a Certificate in Quantitative Finance, an AI Nanodegree, and is pursuing an MSc in Data Science and Financial Technology from the University of London, alongside studies at General Assembly. With expertise spanning pricing, automation of RFQ and AOMS systems, risk analytics, and cross-functional collaboration with trading, IT, and quants, he delivers practical, scalable engineering solutions in finance. Based in Sydney, Australia, he brings a global perspective to projects at Citadel and beyond.
9 years of coding experience
12 years of employment as a software developer
Nanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at UdacityMaster of Science - MS, Data Science and Artificial Intelligence / Financial Technology, Master of Science - MS, Data Science and Artificial Intelligence / Financial Technology at University of LondonUNSW SydneyCertificate in Quantitative Finance, Distinction, Certificate in Quantitative Finance, Distinction at CQF InstituteData Science, Data Science at General Assembly
Github Skills (18)
python10
data-science10
scikit10
data-manipulation10
dataframes10
pandas10
statistics10
machine-learning10
manipulation10
neural-networks10
scikit-learn10
data-structures10
frame10
data-analysis10
python39
Programming languages (2)
Github contributions (5)
louishuynh/hello-world
Nov 2016 - Jun 2019
hello world description
Contributions:6 PRs, 6 pushes, 7 branches in 2 years 7 months
minecraft
louishuynh/scikit-learn
Nov 2019 - Apr 2020
scikit-learn: machine learning in Python
Contributions:2 pushes, 3 branches in 5 months
pythondata-sciencelearn-machine-learningneural-networksmachine-learning
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