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    Gabriel Wong

    Trader at Jane Street

    Gabriel Wong worked as an Assistant Quantitative Trading Intern at Jane Street Capital Asia Limited in Hong Kong from January 2017 to April 2017.1 During this time, he analyzed historical market data to identify statistical trends using Python, R, Bash, and Excel.1 His LinkedIn username is gabrielbwong.1

    Based on his resume, Gabriel's skills include:

    • Languages Java, OCaml, C++, C, Python, Bash, Go, JavaScript, SQL, R1
    • Tools Git, Hg, Make, GDB, Valgrind, Vim, tmux, Gradle1

    Wong also held the position of Assistant Developer Intern from May 2016 to August 2016 in Hong Kong.1 In this role, he developed an OCaml library for low latency forward computation of pre-trained neural networks imported from TensorFlow and Keras.1 He also wrote an OCaml server that watches data sources and regenerates symbology data, and extended a protocol parser to generate Wireshark dissectors and extended the build system to emit OCaml shared libraries that are linkable with C executables.1

    Additionally, Wong worked as a Software Engineering Intern at Bloomberg LP in London from September 2015 to December 2015, focusing on end-to-end encryption of sensitive reports.1

    Highlights

    Feb 7 · blackstone.com
    Our People - Blackstone
    Meet the Investors Trying Quantitative Trading at Home

    Related Questions

    What specific projects has Gabriel Wong worked on at Jane Street?
    How did Gabriel Wong transition from a software engineering intern to a quantitative trading role?
    What programming languages and tools are Gabriel Wong's specialties?
    Can you provide more details about Gabriel Wong's experience with OCaml and neural networks?
    What are some notable achievements or contributions Gabriel Wong has made in his career?
    Gabriel Wong
    Gabriel Wong, photo 1
    Gabriel Wong, photo 2
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    Location

    Hong Kong