Pranav Ahluwalia
Analyst, Portfolio Tools Engineering, Equity Alternatives
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolPranav Ahluwalia is a quantitative finance engineer with a decade of experience building research, attribution, and risk tools for systematic asset managers. With an MS in Applied Mathematics and a background in computer science, he blends numerical modeling and software engineering to productionize portfolio construction and signal-research workflows. He has implemented production portfolio management systems—ranging from delta-hedging optimizers and swaption attribution engines to real-time trade monitoring dashboards—and reduced operational latency in derivatives risk pipelines. Comfortable across Python, SQL, and statistical methods, he also brings cyber-security and large-scale data experience from prior roles that inform robust pipeline design. Based in Boston, he’s known for turning advanced quantitative ideas into scalable, auditable tools that accelerate research-to-production cycles.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Applied Mathematics, 4.0/4.0, Master of Science - MS, Applied Mathematics, 4.0/4.0 at Northeastern UniversityProgramming languages (2)
Github contributions (5)
pranavwalia/pranavwalia.github.io
Jun 2019 - Sep 2022
Portfolio site
Contributions:116 pushes in 3 years 3 months
cssjavascriptreactreactjs
pranavwalia/blog.github.io
Nov 2020 - May 2022
Contributions:85 pushes in 1 year 6 months
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