Arun Verma
Head - Quant Research Solutions at Bloomberg LP
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolArun Verma is Head of Quant Research Solutions at Bloomberg in New York with over a decade of experience building quantitative models for portfolio and risk management, trading strategies, and asset pricing. He combines rigorous academic training (Ph.D. in Computer Science from Cornell and a B.Tech from IIT Delhi) with practical expertise in stochastic calculus, econometrics, machine learning, and alternative data to operationalize passive factor investing and ESG scoring. At Bloomberg he has progressed from quantitative researcher to lead strategic research solutions, translating complex mathematical methods into scalable products for institutional clients. He also serves on the editorial board of the Journal of Financial Data Science, signaling a commitment to advancing industry research and reproducible methods. Notably, he blends sustainable finance initiatives with cutting-edge AI techniques, positioning quantitative research to address both performance and responsible-investing objectives.
10 years of coding experience
Indian Institute of Technology Delhi (IIT Delhi)Ph.D Computer Science, Ph.D Computer Science at Cornell University
Github Skills (11)
bloomberg10
quantitative10
ipython10
jupyter9
visualizations9
sec9
manifold9
jupyter-notebook9
stochastic-processes9
finance8
quantitative-finance7
Programming languages (2)
Github contributions (2)
bloomberg/quant-research
May 2020 - May 2021
A collection of projects published by Bloomberg's Quantitative Finance Research team.
Contributions:9 reviews, 22 commits, 20 PRs in 11 months
bloombergsecstochastic-processesquantitative-financequantitative
bqplot/bqplot
Oct 2015 - Apr 2019
Plotting library for IPython/Jupyter notebooks
Contributions:1 issue in 3 years 7 months
ipythonjupyter-notebookvisualizationsjupyter
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