Sanyam Garg

Associate Consultant

Delhi, India0 mo experience

Key Highlights

  • Passionate about probability and stochastic processes.
  • Experience in quantitative research and trading.
  • Strong analytical skills with hands-on financial market exposure.
Stackforce AI infers this person is a Quantitative Research Analyst with a focus on Fintech.

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Skills

Core Skills

Quantitative Research

Other Skills

Analytical SkillsPandasMachine LearningPython (Programming Language)Mathematical ModelingC++Microsoft Excel

About

Iโ€™m Sanyam, a final-year B.Tech CS student at IIT Delhi with a deep passion for problem-solving and mathematics. My time at IITD has cultivated a lasting fascination with probability and stochastic processes; the space where rigor meets uncertainty and theory connects with real-world applications. Highlights of my journey include: ๐Ÿ“š Rigorously studied stochastic processes with memory, including Hawkes processes and Elephant Random Walks. ๐Ÿ“ˆ Explored the stochastics of finance, including option and bond pricing models, and completed a brief project on equity-indexed annuities under jump-diffusion dynamics. โš™๏ธ Currently designing probing-based speed tests, applying reinforcement learning and queuing theory to model real-world systems. My internship at QRT was an incredible experience, allowing me to apply these concepts directly in financial markets. Iโ€™m excited to continue this journey in quantitative research and trading, combining technical rigor with creative problem-solving. Always open to connecting with fellow enthusiasts in the field ๐Ÿค.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Qube research & technologies

Quantitative Research Intern

May 2025 โ€“ Jul 2025 ยท 2 mos ยท Mumbai, Maharashtra, India ยท On-site

Analytical SkillsPandasQuantitative Research

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech โ€” Computer Science

Jan 2022 โ€“ Jan 2026

OPG World School

Jan 2018 โ€“ Jan 2022

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