Ayush Gupta

Product Manager

Delhi, India1 yr 10 mos experience

Key Highlights

Expert in algorithmic trading and quantitative finance.
Proficient in Python and machine learning libraries.
NISM 8 certified with a focus on risk management.

Stackforce AI infers this person is a Fintech professional specializing in algorithmic trading and quantitative analysis.

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Skills

Core Skills

Algorithmic TradingRisk ManagementData ScienceEquity TradingEquity Research

Other Skills

API IntegrationArduino IDEBacktestingBeautiful SoupData CleaningDelta Neutral StrategiesDockerEquity DerivativesEquity and derivativesFyers One (Trading Terminal)Index OptionsInfluxDBMATLABMarkov Chain Monte CarloMicrosoft Excel

About

Hi, I am Ayush Gupta. A Quantitative Python Developer and Master’s student in Financial Engineering at WorldQuant University. Proficient in Python, machine learning libraries, and NISM 8 certified, I specialize in algorithmic trading, risk management, and delta-neutral strategies for equity and derivatives markets. Passionate about blending technology with finance to drive innovation, I’m eager to connect and collaborate on opportunities in quantitative finance and trading. 🚀 #AlgorithmicTrading #Python #MachineLearning.

Experience

Blueberrycapital

Quant Developer

Dec 2024 – Sep 2025 · 9 mos · Delhi · On-site

1. Developed a robust backtesting engine for evaluating trading strategies using historical data.
2. Coded and deployed live trading strategies integrated with real-time market data.
3. Utilized WebSockets for efficient, low-latency streaming of market data and order updates.
4. Built and connected a Telegram bot for real-time trade alerts and strategy monitoring.
5. Implemented API integrations and automated the full trading workflow from signal generation to execution.

PythonBacktestingWebSocketsAPI IntegrationTelegram BotAlgorithmic Trading+1

Undisclosed

Quantitative Developer

Mar 2024 – Nov 2024 · 8 mos · Delhi, India · Hybrid

1)Backtested Indian market options(Non Vectorised) strategies by making python scripts: Utilized Python Polars for seconds and minutes ticksize data.
2)Developed interactive dashboards: Employed Streamlit for real-time visualizations.
3) Enhanced backtesting efficiency: Significant improvement in engine performance.
4)Developed an interactive Plotly-Dash app for the orderbook Analysis and integrated it with InfluxDB which is dockerized.
5) Data Cleaning for large data set OHLC Data.

PythonPolarsStreamlitPlotly-DashInfluxDBData Cleaning+2

Ebullient securities

2 roles

Risk Management Specialist

Promoted

Aug 2023 – Oct 2023 · 2 mos · On-site

1)Exploring quantitative models for trading ,Black sholes ,Cox, Ross, and Monte-Carlo simulation.
2)Backtesting Option stratergies with python and machine learning libraries.
3)Monitoring Risk Management system.

Quantitative ModelsBacktestingRisk Management

Equity Dealer

Jul 2023 – Aug 2023 · 1 mo · On-site

1)Proficient in executing manual trades based on Delta neutral stratergies, real-time data to capitalize on short-term market opportunities.
2)Skilled in leveraging Option Greeks (Delta, Gamma, Theta, Vega) to analyze risk, optimize trades.

Delta Neutral StrategiesOption GreeksEquity Trading