HRITIK GOEL
Associate
Delhi
Summary
Motivated Quantitative Trading Associate with expertise in algorithmic strategy development, volatility modeling, and options structuring. Passionate about data-driven trading strategies based on probability and quantitative models. Thrives under pressure, embraces feedback, and pushes beyond limits. Strong hands-on experience with market tools, APIs, and trading automation. Skilled in programming and analysis. Committed to long-term alpha generation through disciplined, risk-managed execution.
Overview
2
2
years of professional experience
5
5
Certifications
Work History
Associate
Vikabh Securities Pvt Ltd
04.2025 - Current
- Built and deployed multiple volatility structures including gamma scalping, vega plays, skew arbitrage, and calendar spreads on indices.
- Designed a real-time IV Screener used for volatility arbitrage, reducing manual analysis time by ~80% and improving latency from 10s to 2-3s, implemented using Flask, FastAPI, Socket.IO.
- Developed a full-stack API engine for Iron condor strategy deployment, handling 30+ stocks/indices daily with trade execution automation.
- Created a Forward Curve and Skew Structure Screener for NIFTY/BANKNIFTY Live comparison, aiding short-term directional and vol-neutral plays.
Junior Associate
Vikabh Securities Pvt Ltd
07.2024 - 04.2025
- Backtested and executed IV-IX long straddle setups, consistently generating returns of 20-28% with drawdowns < 7% on large vega exposure.
- Built a BSE News Screener with Selenium to track real-time announcements and mitigate black swan risk across 200+ listed equities.
- Engineered low-exposure screeners for skew, calendars, and vol spreads, enabling structured opportunity detection, reducing analysis time by ~90%, and increasing accuracy of recommendations.
Research Intern
VIT CPS Research Lab
05.2023 - 07.2023
- Created CNN-based SC-DENET model for Alzheimer’s detection with ~4.6M parameters using depthwise separable convolutions and DEM-attention blocks.
- Conducted hyperparameter tuning, training-validation across data partitions, and implemented custom evaluation metrics for AUC and F1 scores.
- Applied model pruning and batch normalization techniques to reduce training time and optimize inference.
Modern App Development Intern
SmartInternz
05.2023 - 07.2023
- Designed and built FeedBuzz, a scalable social news feed app with Spring Boot, React, Docker, and MongoDB.
- Integrated community features, watchlists, and server-side RESTful APIs for a seamless real-time content feed.
Education
Bachelor of Technology - Computer Science Specialization in AI And Robotics
Vellore Institute of Technology
Chennai, India 04.2001 -
High School Diploma -
Jain Bharati Mrigavati Vidayalya
Delhi, India 04.2001 -
Skills
Options theory, Straddles, Calendars, Skew
Iron Condors, Greeks and Volatility
Back-testing and Probability matrices
Python, JavaScript, C, Java, R, JS
Docker, Git, REST APIs, Postman, Jupyter
Vercel, Firebase, Excel Automation
MongoDB, MySQL, Firebase, Selenium
Certification
NISM Series VIII – Equity Derivatives | https://bit.ly/4kPHJ5n
EXTRA-CURRICULAR ACTIVITIES
Project Manager, Team Asterix | Event Management Lead, NexSeed | Airbus Hackathon, Finalist(2023) | Smart India Hackathon, Nationals (2022)
Publications
Enhancing Investment Decision-Making: A Comprehensive Approach through Fundamental, Technical and Sentiment Analysis with Machine Learning and Deep Learning Algorithms | IEEE Xplore | Jun 2024
Timeline
Associate
Vikabh Securities Pvt Ltd
04.2025 - Current
Junior Associate
Vikabh Securities Pvt Ltd
07.2024 - 04.2025
Research Intern
VIT CPS Research Lab
05.2023 - 07.2023
Modern App Development Intern
SmartInternz
05.2023 - 07.2023
Bachelor of Technology - Computer Science Specialization in AI And Robotics
Vellore Institute of Technology
04.2001 -
High School Diploma -
Jain Bharati Mrigavati Vidayalya
04.2001 -