Jordi Corbilla
Senior Engineer, Trading Compliance at Balyasny Asset Management L.P.
London, England, United Kingdom
Summary
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SeniorJordi Corbilla is a Senior Engineer in Trading Compliance based in London with over a decade of experience building high-performance, full-stack and quantitative systems for multi-strategy hedge funds. He combines hands-on engineering and solutions architecture from roles at Balyasny and VR Capital to design auditable, production-grade compliance tooling that bridges trading, risk and ML workflows. Comfortable across the stack, Jordi has applied time-series deep learning (LSTM) to market data and led teams delivering resilient, low-latency software in regulated finance. His background in control systems and automation gives him a pragmatic systems-thinking approach to complex trading infrastructure. Colleagues know him for translating tricky regulatory and data requirements into robust, scalable engineering designs.
12 years of coding experience
20 years of employment as a software developer
Spanish, Catalan, English, Portuguese
Stackoverflow
571reputation
197kreached
4answers
2questions
Github Skills (17)
python10
machine-learning10
time-series10
deeplearning-ai10
lstm10
deep-learning10
stock9
jupyter-notebook8
stock-data7
price-data7
finance7
market-prices7
asp-net6
android6
asp-net-mvc6
Programming languages (6)
Github contributions (5)
JordiCorbilla/stock-prediction-deep-neural-learning
Jul 2020 - Oct 2022
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Role in this project:
Data Scientist
Data ScientistContributions:4 releases, 161 commits, 4 PRs in 2 years 3 months
Contributions summary:Jordi contributed to the project by implementing data downloading and initial data exploration features. They utilized the yfinance library to retrieve stock market data for analysis. The commits demonstrate the creation of Python scripts to fetch and present financial data, including information like earnings and holdings. Moreover, they initiated the development of an LSTM model, indicating a focus on time series forecasting.
cryptocryptocurrencydeep-learningdeep-neural-networksfinance
JordiCorbilla/HierarchyChart
Oct 2016 - Mar 2023
🌳Hierarchy Chart is a .NET persistence library to accompany OrgChart component.
Contributions:3 PRs, 12 pushes, 1 branch in 6 years 5 months
chartsdotnetchartjavascriptorgchart
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