Analytical and detail-oriented Applied Physics graduate with a strong foundation in mathematics, statistics, and computational modeling. Experienced in data analysis, algorithm development, and numerical methods through academic research and independent projects. Proficient in Python, MATLAB, and Fortran, with working knowledge of financial mathematics. Adept at solving complex problems and communicating technical insights clearly. Eager to apply quantitative skills and scientific rigor to financial modeling, risk analysis, and algorithmic trading in a dynamic quant environment.
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: 2 - 5 years
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Kyle Mckenna
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