Ahmad Asadi
Senior Quantitative Analyst
Tehran, Tehran Province, Other
Summary
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Senior🎓
Top SchoolAhmad Asadi is a Senior Quantitative Analyst with a decade of experience in global financial markets and four years focused on quantitative research and trading strategy development. He combines an Electrical Engineering undergraduate background with an MS in Economics from Sharif University, blending engineering rigor and economic theory to build statistically grounded trading models. Proficient in Python and certified by DataCamp as a Data Scientist, he specializes in backtesting, live-testing, and deploying stat-arb strategies—including crypto market work at Wallex. Ahmad is passionate about engineering novel solutions and optimizing systems, routinely applying advanced statistical methods to uncover market inefficiencies in large financial datasets. Based in Tehran, he has progressed through roles at Tosan Ofogh, AgronCapital, and Agah Group, demonstrating consistent growth from analyst to senior quantitative roles. A detail that sets him apart is his cross-disciplinary fluency: he comfortably navigates signal engineering, economic modeling, and production-ready code to turn research into tradable strategies.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Iran University of Science and TechnologyMaster of Science - MS, Economics, Master of Science - MS, Economics at Sharif University of TechnologyGithub contributions (5)
ahmad-asadi/SeminarPresentation
Aug 2016 - Oct 2016
Contributions:13 commits, 10 pushes, 1 branch in 2 months
ahmad-asadi/ImageCaptioning
Nov 2017 - Dec 2017
Contributions:23 commits, 12 pushes, 1 branch in 1 month
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