Binance

2 months ago

Junior Quantitative Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Join Binance's AI-driven Quantitative Research team as a Junior Quantitative Researcher to design, test, and productionize AI-powered market signals. You’ll work with senior quants, engineers, and traders to build AI agents, analyze market microstructure, diagnose model behavior, and deploy live, monitored strategies across asset classes. Ideal for fresh PhD graduates with strong Python skills and a passion for trading.

Location: Hong Kong

Workplace: Remote

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Entry level

Key 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.

Pay and Benefits

Perks:Remote Work

Key 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 — tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks.
•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.

Education:PhD / Doctorate

Skills:PythonNumPyPandasPyTorchJAXAI agentsLLMsStatisticsProbabilityMachine learningCommunication

Languages:English

Tech Stack:PythonNumPyPandasPyTorchJAXLLMAI agentsTool-using agentsMulti-step reasoningRetrieval systemsBacktestLive trading

Company Brief

Binance

Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Bootstrapped

Headquarters: George Town, Cayman Islands

Founded: 2017

Website LinkedIn

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Binance

2 months ago

Junior Quantitative Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Hong Kong

Workplace: Remote

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Entry level

Key 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.

Pay and Benefits

Perks:Remote Work

Key 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 — tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks.
•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.

Education:PhD / Doctorate

Skills:PythonNumPyPandasPyTorchJAXAI agentsLLMsStatisticsProbabilityMachine learningCommunication

Languages:English

Tech Stack:PythonNumPyPandasPyTorchJAXLLMAI agentsTool-using agentsMulti-step reasoningRetrieval systemsBacktestLive trading

Company Brief

Binance

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Bootstrapped

Headquarters: George Town, Cayman Islands

Founded: 2017

Website LinkedIn