Quantitative Trading (Paid) - GoQuant Technologies Inc.

About Us
GoQuant develops solutions that make life easier and more profitable for digital asset traders and researchers. We do so primarily by increasing transparency, boosting speed, and placing decisions in the hands of users.

We currently offer two solutions: GoMarket and GoTrade. GoMarket is a subscription service that delivers low-latency digital asset data via WebSocket. Features include a unified querying language that allows users to easily bypass exchange-specific protocols to access data. GoTrade is a trade execution platform that allows clients to trade digital assets—using multiple interfaces (Rest API, UI, WebSocket, Redis, etc.) to rapidly interact and trade with cryptocurrency exchanges.

Our infrastructure is built with performance, flexibility, and reliability in mind, leveraging technologies across Python, C++, and cloud-based systems.

This is an exciting time for the GoQuant team as we onboard clients and rapidly build out our solutions to meet their needs.

Job Description:




We are looking for a Quantitative Trader with experience or a strong interest in trading, market microstructure, and quantitative methods. This role will offer hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.

Quantitative Traders will work closely with other researchers, engineers, and product managers and report directly to the Head of Research. This is a excellent opportunity to gain practical experience in the fast-paced world of fintech and cryptocurrency trading.

Responsibilities:
Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.
Develop and backtest algorithmic trading strategies using quantitative methods.
Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.
Create research reports and visualizations to communicate findings to

📌 Quantitative Trader (India)
🏢 GoQuant
📍 India