Prashanth Bhaskara is a quantitative researcher and financial mathematics graduate student at the University of Chicago with nine years of experience blending software development and market research. He has interned and led teams across proprietary trading and research shops—managing a $100k+ portfolio as Team Lead at Oracle Trading Group and producing alpha research for Trexquant and Glenbrook using Python, regression, and ML techniques on limit order book data. Comfortable moving between production software (Siemens projects, web apps) and quantitative modeling, he has applied unsupervised clustering and backtesting to stress-test portfolios during market dislocations. Prashanth’s background in both CS and math enables him to translate complex statistical ideas into deployable trading strategies and tools, and he often pairs classical probability with pragmatic engineering to iterate quickly. Based in Chicago, he is completing his MS in Financial Mathematics (Dec 2026) and brings a curiosity for rare-event modeling and real-time signal validation that’s driven much of his research.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Financial Mathematics, Master of Science - MS, Financial Mathematics at University of Chicago
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