Amirhossein Aminfar is a quantitative scientist and software engineer with 11 years of cross-disciplinary experience, currently leading Credit AMM quantitative analysis in New York. Trained as a mechanical engineer with a Stanford PhD in computational math, he transitioned into computational biology at Illumina before moving into credit quant research at J.P. Morgan and Citi, blending deep numerical methods with practical finance. He builds high-performance C++ and Python libraries for large-scale matrix solves and algorithmic trading analytics, and has taught scientific computing to graduate and undergraduate audiences. His background in CAD, heat transfer and finite element modeling complements his expertise in numerical algorithms, giving him an uncommon ability to translate physical intuition into robust computational solutions. He has also passed all three CFA exams, reflecting a deliberate bridge between rigorous quantitative science and financial domain knowledge.
11 years of coding experience
7 years of employment as a software developer
Passed All Three CFA Exams, Passed All Three CFA Exams at CFA Institute
Master of Science (MS), Mechanical Engineering, Master of Science (MS), Mechanical Engineering at Stanford University
Program in Innovation and Entrepreneurship/Entrepreneurial Studies, Program in Innovation and Entrepreneurship/Entrepreneurial Studies at Stanford University Graduate School of Business
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at Sharif University of Technology
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