Vansh Jain

Associate Consultant

Jaipur, Rajasthan, India0 mo experience

Key Highlights

Achieved 36% risk-free profits in trading strategies.
Published research on sentiment analysis in stock prediction.
Led teams in entrepreneurial initiatives at IIT Delhi.

Stackforce AI infers this person is a Fintech-focused quantitative analyst with strong machine learning expertise.

Contact

Skills

Core Skills

Quantitative FinanceAlgorithmic TradingMachine LearningSentiment Analysis

Other Skills

Futures TradingBacktestingR (Programming Language)Statistical ResearchFinanceC++Trading SystemsHigh-Frequency TradingTrading StrategiesQuantitative ResearchStock Market AnalysisTradingPython (Programming Language)Genetic AlgorithmsLarge Language Models (LLM)

About

I am a final-year undergraduate pursuing a BTech from IIT Delhi. I have always been fascinated by mathematics and curious to learn more. I enjoy solving new and challenging problems.

Experience

Quadeye

Quantitative Research Intern

May 2024 – Jul 2024 · 2 mos · Gurugram, Haryana, India · On-site

Collected stock and futures bid-ask at every market event of 7 months and observed trends in the market, finding optimal arbitrage opportunities for cash and carry strategy on the Turkish market
Developed multiple AGG-PASS strategies using different statistical parameters, final version profits achieved risk-free of 36% in Turkey
Incorporated Dividends, Rolling over futures in strategy, ensured high churn, sharpe with consistent monthly profits
Handled multiple edge conditions and tested strategy under all BIST market constraints and portfolio limitations, ensuring complete hedging

Futures TradingBacktestingAlgorithmic TradingR (Programming Language)Statistical ResearchFinance+8

Ucl

Researcher

May 2023 – Jul 2024 · 1 yr 2 mos · London , United Kingdom · Remote

Published research paper "Closing Price Prediction using Sentiment Analysis by LLM and SSA" on SSRN
Implemented LSTM model using VADER to predict bullish-bearish sentiment scores on tweets related to Tesla's stock
Modified sentiment score calculation by using LLM(llama), fine-tuned on the basis of balanced accuracy, improving model MSE by 20%
Applied Sparrow Search Algorithm to efficiently fine-tune LSTM hyperparameters, achieving 25% MSE reduction compared to Grid Search

Machine LearningSentiment AnalysisPython (Programming Language)Genetic AlgorithmsLarge Language Models (LLM)

University of toronto

Researcher

May 2023 – Jul 2023 · 2 mos · Toronto, Ontario, Canada

Assisted in machine learning project for the construction of ECG signal using PPG signal.
Developed a program to detect bundle branch block disease in a patient using ECG Signal.

Python (Programming Language)AlgorithmsMachine Learning

Edc iit delhi(entrepreneurship development cell)

Executive

Jul 2022 – May 2023 · 10 mos · Delhi, India · On-site

Worked extensively in collecting data for marketing and publicity of the annual entrepreneurship fest of IIT Delhi, BeCon.
Led a team of more than 15 freshmen for security, logistics of pronites and other events during the year.
Mentored a group of freshers through their entrepreneurial journey at the Musketeers competition, inspiring and guiding them to victory