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Writing about Quantitative Finance and Machine Learning
:bowtie:
Writing about Quantitative Finance and Machine Learning

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JordiCorbilla/README.md

Hi there 👋

With over two decades of experience designing and building end-to-end systems, I have developed a deep technical skill set and a passion for delivering impactful solutions. Originally from Spain and now based in the UK, I currently serve as a Senior Software Engineer in the Trading Execution & Compliance Technology team at Balyasny Asset Management, a top-tier global multi-strategy hedge fund.

In my role, I architect and implement mission-critical trading and compliance platforms, leveraging cutting-edge technologies such as .NET, Python, and React. My work spans from backend engineering to user interfaces, ensuring robust, scalable, and secure systems that support complex, high-volume trading operations.

My academic background includes a Master’s in Computer Engineering and a Bachelor’s in Computer Engineering from the Open University of Catalonia, as well as a Bachelor’s in Industrial Electronics Engineering from the University of Girona. I also hold specializations in Investment Management with Python and Machine Learning (EDHEC), Financial Engineering and Risk Management (Columbia University), and Machine Learning Specialization (Stanford University). These credentials enable me to seamlessly bridge technology and finance, applying advanced analytical and quantitative techniques to drive innovation.

I am continuously exploring new technologies, currently focusing on Deep Learning models in Python. Beyond my professional work, I share my insights and experiences on my blog, "Random Thoughts on Coding & Technology".

Feel free to connect with me on LinkedIn or follow me on X. I’m always open to collaborating, networking, and discovering new opportunities to blend technology, finance, and cutting-edge research.

Profile Summary Card

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