Назад
6 дней назад

Junior Quantitative Researcher (AI)

Формат работы
remote (только China)/hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Junior Quantitative Researcher (AI): Building and optimizing AI-driven quantitative trading strategies with an accent on signal research, market microstructure analysis, and agentic research workflows. Focus on designing LLM-based systems to automate research pipelines and diagnosing complex model behaviors in a high-frequency trading environment.

Location: Hong Kong (Hybrid/Remote flexibility depending on business needs)

Company

Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange, dedicated to advancing financial access and the freedom of money.

What you will do

  • Develop and productionize predictive signals across asset classes using statistical methods and AI agent-driven workflows.
  • Conduct root cause analysis on model behavior, signal decay, and PnL attribution.
  • Research market microstructure, including order book dynamics and execution costs.
  • Design and extend internal agentic systems to automate data exploration and backtest configuration.
  • Collaborate with traders and engineers to deploy and monitor live trading strategies.

Requirements

  • PhD in a quantitative field (Computer Science, Machine Learning, Statistics, Physics, Mathematics, etc.).
  • Strong programming skills in Python and experience with modern ML stacks like PyTorch or JAX.
  • Hands-on experience building with AI agents and LLM-based systems.
  • Solid grounding in statistics, probability, and machine learning.
  • Genuine interest in financial markets and trading.
  • Strong written and verbal communication skills.

Nice to have

  • Research experience at a hedge fund, prop trading firm, 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 or trading competition results.

Culture & Benefits

  • Work in a fast-paced, innovative environment with a flat organizational structure.
  • Collaborate with world-class talent in a global, user-centric organization.
  • Competitive salary and comprehensive company benefits.
  • Flexible work-from-home arrangements based on business team requirements.
  • Opportunities for continuous learning and career growth in the blockchain industry.

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