Pankaj Rawat

Product Engineer

Delhi, India2 yrs experience

Key Highlights

Expert in building robust trading infrastructure.
Proficient in quantitative research and automated trading.
Skilled in data engineering for financial applications.

Stackforce AI infers this person is a Fintech Quantitative Developer with expertise in data engineering and automated trading systems.

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Skills

Core Skills

Quantitative ResearchData EngineeringQuantitative DevelopmentAutomated Trading

Other Skills

BacktestingBacktesting FrameworksCascading Style Sheets (CSS)Data PipelinesHTML5JavaScriptMySQLNumPyPandasPythonREST/WebSocket APIsReact.js

About

Quantitative Developer with hands-on experience building and maintaining backtesting engines, data pipelines, and automated execution systems for equity and derivatives trading. Proficient in Python, C++, Pandas, NumPy, and experienced in working with REST/WebSocket APIs for real-time data and order routing. I have worked on transforming raw tick and historical data into structured, analysis-ready datasets, implementing risk controls, logging, and reporting systems, and deploying automated bots in live environments. My focus is on clean, scalable code and robust trading infrastructure that bridges research and execution. Currently working as a Quantitative Researcher at Skyline Wealth Creation LLP, with prior experience at Share India, where I developed backtesting engines and live trading bots.

Experience

Skyline wealth creation

Quantitative Researcher

May 2025 – Nov 2025 · 6 mos · Noida, Uttar Pradesh, India · On-site

Designed and implemented data pipelines to process raw equity and derivatives data into structured formats for backtesting and live analytics.
Developed and maintained backtesting frameworks to evaluate trading models under realistic execution conditions.
Worked on deploying strategies into live trading environments by integrating with broker APIs (REST/WebSocket) for real-time execution and monitoring.
Built tools to track performance, execution quality, and risk metrics, ensuring reliability and compliance.

PythonREST/WebSocket APIsData PipelinesBacktesting FrameworksQuantitative ResearchData Engineering

Share india

Quantitative Developer

Jul 2023 – Jan 2025 · 1 yr 6 mos · Noida, Uttar Pradesh, India · On-site

Developed a custom backtesting engine in Python with execution logic, fills, slippage, and portfolio risk controls.
Engineered automated trading bots with real-time data feeds and order execution via REST/WebSocket APIs.
Implemented risk management modules (stop-loss, take-profit) and built performance reporting dashboards using Pandas & NumPy.
Collaborated with traders and stakeholders to align systems with business requirements and deploy production-ready solutions.

PythonREST/WebSocket APIsPandasNumPyQuantitative DevelopmentAutomated Trading