Jake Macnaughton
Developer at Aerok Capital Advisors
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJake Macnaughton is a full-stack developer based in New York with nine years of experience blending Ruby and JavaScript engineering with deep finance expertise. He built production-ready trading tools and interactive Python/Dash apps that backtested systematic VIX and S&P futures strategies, combining data engineering, scraping, and regression modeling to support due diligence. Previously an equity analyst, he wrote DCF models and taught financial modeling, which informs his pragmatic, metrics-driven approach to product design. At Flatiron School he authored labs and taught data science fundamentals, evidencing a knack for turning complex technical concepts into teachable projects. His open-source contributions include refining data-science instructional materials, and outside work he channels the same maker mindset into guitars, Legos, and endurance training. This mix of investing rigor and hands-on development makes him especially adept at building analytically grounded web applications.
8 years of coding experience
Economic History, Economic History at The University of EdinburghFull Stack Web Development, Full Stack Web Development at Flatiron SchoolBachelor of Arts (BA), History, Bachelor of Arts (BA), History at Bates College
Github Skills (6)
jupyter-notebook10
python10
data-science10
nearest-neighbors10
folium9
statistics9
Programming languages (8)
Github contributions (5)
learn-co-students/nearest-neighbors-lab-data-science-intro-000
May 2018 - Jun 2018
Role in this project:
Data Scientist
Data ScientistContributions:3 pushes in 22 days
Contributions summary:Jake contributed to a data science introductory lab focused on nearest neighbors. Their work involved fixing code issues, improving grammar, and correcting the use of median versus mode. They also added a requirements file, and made clarifications. The commits suggest a focus on refining the existing code and addressing implementation details within a data science context.
cutterbuck/vix-model
Aug 2018 - Jan 2019
Contributions:167 pushes, 2 branches in 4 months
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