Madhur Adlakha is a quantitative strategist and software engineer with 11 years of experience building production-grade financial systems and modelling tools. Currently an Associate at Goldman Sachs’ Asset Management division, he develops fund-level projection models that drive NAV and IRR/MOIC forecasting under complex commitment and leverage assumptions. His background spans low-latency C++ trading infrastructure and back-testing platforms for commodity and crypto markets, plus earlier work on fixed-income and derivatives systems at ION. A Georgia Tech MS in Quantitative and Computational Finance (4.0) and hands-on teaching experience in data analytics complement his practical expertise, giving him both strong mathematical intuition and the ability to communicate technical ideas. He’s equally comfortable optimizing performance-critical systems and translating market structure into quantitative strategies—often surfacing insights that bridge implementation detail and portfolio-level impact.
11 years of coding experience
2 years of employment as a software developer
High School, 96%, High School, 96% at Springdales School, Dhaula Kuan
Master of Science - MS, Quantitative and Computational Finance, 4.0, Master of Science - MS, Quantitative and Computational Finance, 4.0 at Georgia Institute of Technology
Bachelor of Engineering (BEng), Information Technology, 8.07, Bachelor of Engineering (BEng), Information Technology, 8.07 at Delhi College of Engineering
Contributions:3 commits, 2 pushes, 1 branch in 1 month
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