Sanyam Garg — Associate Consultant
I’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: 📚 Rigorously studied stochastic processes with memory, including Hawkes processes and Elephant Random Walks. 📈 Explored the stochastics of finance, including option and bond pricing models, and completed a brief project on equity-indexed annuities under jump-diffusion dynamics. ⚙️ 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. I’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 🤝.
Stackforce AI infers this person is a Quantitative Research Analyst with a focus on Fintech.
Location: Delhi, India
Experience: 0 mo
Skills
- Quantitative Research
Career Highlights
- Passionate about probability and stochastic processes.
- Experience in quantitative research and trading.
- Strong analytical skills with hands-on financial market exposure.
Work Experience
Qube Research & Technologies
Quantitative Research Intern (2 mos)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Delhi
at OPG World School