Binance
blockchain
JuniorQuantitativeResearcher
Neural analysis suggests this role is
optimal for Entry candidates.
“Junior Quantitative Researcher at Binance. Skills: Signal research and construction, Predictive signal development using statistical methods, machine learning, and AI agents, AI agent infrastructure development, Collaboration with traders, engineers, and researchers. Signal research and construction. Develop, test, and productionize predictive signals”
What You'll Achieve.
Turn ideas into live, monitored strategies
Industry & Context.
Root cause analysis (RCA); Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes; Build tools that accelerate diagnosis and shorten the loop between observation and fix
What They're Looking For.
Must Have
PhD in a quantitative field (Computer Science, Machine Learning, Statistics, Physics, Mathematics, Electrical Engineering, Operations Research, or a related discipline), Programming skills in the modern data and ML stack (NumPy, pandas, PyTorch or JAX, etc.), Hands-on experience building with AI agents and LLM-based systems (e.g., tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks), Solid grounding in statistics, probability, and machine learning, Genuine interest in financial markets and trading, Written and verbal communication skills
Nice to Have
Prior internship or research experience at a hedge fund, prop trading firm, market maker, bank, or fintech, Exposure to market microstructure, limit order books, or high-frequency data, Experience with backtesting frameworks, time-series analysis, or causal inference, Familiarity with low-latency systems, or large-scale data infrastructure, Publications, open-source contributions, or trading competition results
What You'll Do.
Signal research and construction
and productionize predictive signals
Take ideas from hypothesis through backtest
Investigate model behavior
and unexpected trading outcomes
Build tools that accelerate diagnosis and shorten the loop between observation and fix
Study order book dynamics
Design and extend internal agentic systems that automate parts of the research pipeline
Collaborate with traders
and other researchers to turn ideas into live
How You'll Work.
Team & Collaboration
Collaborate broadly with traders, engineers, and other researchers
Communication Scope
Written and verbal communication skills; Able to explain technical work clearly to a mixed audience
Full Job Description
## Description Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ## Responsibilities Signal research and construction. Develop, test, and productionize predictive signals across asset classes using a combination of statistical methods, machine learning, and AI agent–driven research workflows. Take ideas from hypothesis through backtest, validation, and deployment. Root cause analysis (RCA). Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes. Build tools — including agentic ones — that accelerate diagnosis and shorten the loop between observation and fix. Market microstructure research. Study order book dynamics, execution costs, liquidity, and venue behavior to inform both signal design and execution strategy. AI agent infrastructure for research. 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. Collaborate broadly. 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 ski
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