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Junior Quantitative Researcher (Fresh STEM PhD graduates are welcome)

1 month, 1 week ago
Asia, Taiwan, Hong Kong
Full-time
Junior
AI Research Scientist
Data Science and Analytics
Blockchain Machine Learning NumPy Pandas Python PyTorch Statistics
Apply Now
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 293

Description

  • Develop, test, and productionize predictive signals across asset classes using statistical methods, machine learning, and AI-driven research workflows.
  • Take research ideas from hypothesis through backtest, validation, and deployment.
  • Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes.
  • Build tools, including agentic tools, that speed up root-cause analysis and diagnosis.
  • Study market microstructure, including order book dynamics, execution costs, liquidity, and venue behavior.
  • Help design and extend internal AI agent systems that automate parts of the research pipeline.
  • Support data exploration, hypothesis generation, backtest configuration, results summarization, and report drafting.
  • Collaborate closely with traders, engineers, and other researchers to move ideas into live, monitored strategies.

Requirements

  • Recently completed or near-completion PhD in a quantitative field such as Computer Science, Machine Learning, Statistics, Physics, Mathematics, Electrical Engineering, Operations Research, or a related discipline.
  • Strong programming skills in Python.
  • Comfort with the modern data and machine learning stack, including NumPy, pandas, PyTorch, or JAX.
  • Hands-on experience building AI agents and LLM-based systems such as 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, demonstrated through coursework, personal projects, competitions, internships, or self-directed study.
  • Strong written and verbal communication skills, with the ability to explain technical work clearly to mixed audiences.
  • Prior internship or research experience at a hedge fund, prop trading firm, market maker, bank, or fintech is preferred.
  • Exposure to market microstructure, limit order books, or high-frequency data is preferred.
  • Experience with backtesting frameworks, time-series analysis, or causal inference is preferred.
  • Familiarity with low-latency systems or large-scale data infrastructure is preferred.
  • Publications, open-source contributions, or trading competition results are preferred.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the business team and role requirements.
  • Opportunity to work with world-class talent in a global organization.
  • Autonomy to tackle unique, fast-paced projects in an innovative environment.
  • Opportunities for career growth and continuous learning.
  • Equal opportunity employer commitment with a diverse workforce.

Interested in this position?

Apply directly on the company website

Apply Now

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