Jared Broad
CEO Founder at QuantConnect
Miami, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolJared Broad is the founder and CEO of QuantConnect, a Miami-based open-source platform that enables quants, engineers, and trading firms to build institutional-caliber quantitative strategies at a fraction of the traditional cost. With 12 years of experience leading the company he started in 2011, he combines hands-on backend development of the LEAN algorithmic trading engine with product leadership that supports 220,000 users and billions in monthly notional trading volume. A biomedical engineer by training (BE Hons, University of Auckland), Jared blends quantitative trading expertise with technical writing and developer-focused documentation to make sophisticated finance tools broadly accessible. His contributions span critical bug fixes and order handling improvements in LEAN as well as the creation of extensive Jupyter tutorials and API docs, reflecting a commitment to open-source education and robust production systems.
12 years of coding experience
BE (Hons), BE (Hons) at The University of Auckland
Spanish
Stackoverflow
680reputation
249kreached
18answers
3questions
Github Skills (30)
markdown10
debug10
back-end-development10
technical-writing10
order-management10
markdown-it10
dotnet-core10
csharp10
documentation10
content-management-system9
apidoc9
options-trading9
content-management9
api9
financial-analysis9
Programming languages (12)
Github contributions (5)
QuantConnect/Tutorials
Jul 2017 - Mar 2022
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
Role in this project:
Technical Writer
Technical WriterContributions:1 review, 323 commits, 143 PRs in 4 years 8 months
Contributions summary:Jared primarily contributed to the documentation and tutorial sections of the repository, as evidenced by the commit messages indicating the addition and updating of various tutorial files. The changes involve the creation of new tutorials and updates to existing ones. These contributions focus on a range of topics including API usage, financial Python, options, and strategy implementation, making the user's contributions central to the repository's educational purpose.
pythonquantconnectjupyter-notebooknotebookjupyter
QuantConnect/Lean
Jan 2015 - Jul 2022
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 releases, 521 reviews, 2308 commits in 7 years 7 months
Contributions summary:Jared primarily focused on refining the back-end of the trading engine, addressing issues within the results handling and order processing modules. They implemented critical bug fixes related to inaccurate display of daily performance in chart results and corrected inaccuracies in the drawdown reporting. Moreover, they restructured order types and implemented new order handling functionalities, thereby improving the system's handling of trading operations within the core of the application. The user also made changes to the API with code to get the proper data.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
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