Dhruv Joshi

Co-Founder

United States3 yrs 7 mos experience

Highly Stable

Key Highlights

Expert in quantitative finance with a focus on asset pricing.
Proficient in Python and automated trading strategies.
Experience in developing advanced trading backtesting systems.

Stackforce AI infers this person is a Fintech professional with strong quantitative research and automated trading expertise.

Contact

Skills

Core Skills

Automated TradingPython (programming Language)

Other Skills

AlgorithmsAnalytical SkillsBitcoinBlack-ScholesBoost (C++ libraries)CryptocurrencyData ScienceData StructuresDeep LearningEthereumFinTechFinanceLinear AlgebraMachine LearningMultivariable Calculus

About

I am intrigued by quantitative finance and am a Masters student at the UC Berkeley Financial Engineering Program at Haas School of Business. I am especially interested in researching asset pricing and constructing accurate volatility surfaces using machine learning. I have 2 years of work experience working as a quantitative researcher on Mid-Frequency Trading Strategies especially delta-neutral option strategies. I am skilled in Python, C++ and Bash Scripting and I have a good understanding of mathematical concepts in probability, statistics, calculus and linear algebra. My DMs are open for a quick chat and please feel free to reach out at dhruv_joshi@berkeley.edu.

Experience

Societe generale corporate and investment banking - sgcib

Quantitative Research Intern - QIS Team

Oct 2025 – Dec 2025 · 2 mos · New York City Metropolitan Area · On-site

Orange quant research

2 roles

Quantitative Researcher

Jul 2023 – Jan 2025 · 1 yr 6 mos · Pune, Maharashtra, India · On-site

Built a Multi-Leg F&O Trading Backtester from scratch, incorporating an advanced order book and order execution system to simulate realistic trading environments.
Explored and designed a portfolio of market-neutral Index Options MFT trading strategies on Indian Indices.
Collaborated with senior external traders for strategy development and verification and generated new trading indicators to design robust trend-based strategies.

Python (Programming Language)Automated Trading

Quantitative Research Intern

Jan 2023 – Jul 2023 · 6 mos · Pune, Maharashtra, India · On-site

◦ Trade Verification between Live and Simulation Environments (Python):
Devised a sophisticated trade-matching algorithm to identify matched and missed trades for
extensive trade analysis.
◦ Risk Framework for Live Strategies based on Equity Curves (Python):
Engineered a robust risk framework using statistical analysis of live strategies, including a detailed
examination of equity curves using metrics like Drawdown Patterns, Sharpe Ratio and VaR.

Wells fargo

Intern

May 2022 – Jul 2022 · 2 mos

◦ Chatbot Design: Developed an intelligent chatbot in Python for Wells Fargo’s customer service portal
◦ Emotion Detection: Implemented precise emotion detection for customer queries on the banking service chat portal.
◦ Suggestion Generator: Engineered a chatbot feature for personalized suggestions based on user queries and emotions

Blockwise

Co-Founder

Oct 2021 – Jul 2022 · 9 mos

Victorious chess academy

Chess Trainer

Jun 2021 – Jun 2024 · 3 yrs

Summer of bitcoin

Summer of Bitcoin Mentee

Jun 2021 – Sep 2021 · 3 mos

Worked on the Electrum Wallet during my internship.
Key Developments/Fixes during my internship:
1. Added spacing for better viewing of high amounts of currencies.
2. Added all the SIGHASH TYPES in the Electrum wallet which gives more than just one signing option for a transaction.
3. Added the CPFP feature for the Android version of the Electrum Wallet which allows users to pair a child transaction with a parent one such that miner appends them to a block.