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Quantitative Developer | Mathematical & Algorithmic Trading Models | Rust, Python, Linux
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J.P.Morgan Chase
Data Scientist
June 28, 2026 – Present
linear_algebra_ws
April 28, 2025 – April 28, 2025
An open-source Rust library for linear algebra operations, designed with privacy and transparency.
View ProjectRUST_AND_HFT
April 18, 2025 – April 18, 2025
How Rust and High-Frequency Trading strategies detect inefficiencies in the currency market.
View Projectquant_marketstat_ws
April 6, 2025 – April 10, 2025
Rust-based Financial Statistical Engine by Willys Sajbeni
View ProjectRecommendatio_Machine_Learning
April 29, 2023 – May 4, 2023
Recommendation System with Python Machine Learning & AI
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards quantitative finance and data science, aligning with roles requiring analytical rigor. The diversity of personal projects, including web development, indicates a broad interest, but the descriptions are brief, making it hard to fully assess depth. The current role at J.P. Morgan Chase as a Data Scientist, if accurate and current, suggests a good fit for a data science-oriented culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are not provided.