Raghav Somani is a quantitative analyst at The D. E. Shaw Group, applying advanced mathematics and machine learning to active equities. Blending PhD-level theory from the University of Washington with hands-on experience, he develops predictive algorithms for financial time series and helps strengthen trading pipelines. His background spans quantitative research at D. E. Shaw and a Graduate Research Assistantship at UW, where he explored scaling limits of algorithms on large matrices. Earlier roles include a Research Fellow at Microsoft Research India and a summer internship at CAFRAL, RBI, reflecting breadth across optimization, PCA-related methods, and finance-oriented data analysis. Based in Jersey City, NJ, he is pursuing a PhD in CS at UW while maintaining a track record of turning rigorous theory into practical, scalable financial models.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science and Engineering, 3.90/4, Master's degree, Computer Science and Engineering, 3.90/4 at University of Washington
Bachelor’s Degree, Mathematics and Computing, 9.10/10, Bachelor’s Degree, Mathematics and Computing, 9.10/10 at Indian Institute of Technology Guwahati
Higher Secondary, Science, 91.6%, Higher Secondary, Science, 91.6% at Techno India Group Public School
Secondary Education, General, 82.13%, Secondary Education, General, 82.13% at Hind Motor Education Centre
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