Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
Junior Quantitative Researcher, STEM PhD
🔥 3 minutes ago
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Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
📋 Description
• Develop, test, and productionize predictive signals across asset classes using a combination of statistical methods, machine learning, and AI agent–driven research workflows. • Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes. • Study order book dynamics, execution costs, liquidity, and venue behavior to inform both signal design and execution strategy. • Help design and extend internal agentic systems that automate parts of the research pipeline — data exploration, hypothesis generation, backtest configuration, results summarization, and report drafting. • Work closely with traders, engineers, and other researchers to turn ideas into live, monitored strategies.
🎯 Requirements
• PhD (recently completed or near completion) in a quantitative field — e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics, Electrical Engineering, Operations Research, or a related discipline. • Strong programming skills in Python; comfortable with the modern data and ML stack (NumPy, pandas, PyTorch or JAX, etc.). • Hands-on experience building with AI agents and LLM-based systems — for example, tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks. We want to see that you have actually built things, not just read papers. • Solid grounding in statistics, probability, and machine learning, with the rigor to know when a result is real and when it isn't. • Genuine interest in financial markets and trading, demonstrable through coursework, personal projects, competitions, internships, or self-directed study. • Strong written and verbal communication; able to explain technical work clearly to a mixed audience.
🏖️ Benefits
• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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