Crypto Quant Researcher & Portfolio Strategist (Remote)

Albert Bow

Singapore

Remote

SGD 2,311,000 - 2,824,000

Full time

1 hour ago
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Job summary

Albert Bow is seeking a Quantitative Researcher/Portfolio Manager for Crypto MFT to work remotely with a global remit. You will develop and deploy live systematic strategies, test signals, optimize execution, and manage post-trade analysis across frontier crypto markets.

You'll explore new markets, derivatives, volatility, and market structure, contributing to edge development. A strong independent mindset and experience in tier-1 firms or top education are preferred.

Qualifications

  • 2–5 years in quantitative research or systematic trading at a top-tier prop firm, hedge fund, or trading platform.
  • Strong foundations in statistics, probability, ML, or optimization.
  • Track record turning research on noisy financial data into live trading strategies.
  • Strong Python (or similar) skills, comfortable working independently.
  • Previous Tier 1 firm experience or exceptional education.

Responsibilities

  • Develop, test, and deploy quantitative models with direct PnL ownership.
  • Mine market microstructure, derivatives, and macro data for signals.
  • Productionize models and improve execution and research infrastructure.
  • Run backtesting, scenario analysis, and post-trade attribution.
  • Help shape research direction, market selection, and firm strategy.

Skills

Quantitative research
ML/Optimization
Python
Independent worker
Tier1 experience

Education

Bachelor's degree in quantitative field

Tools

NumPy/SciPy
Python

Job description

Albert Bow is seeking a Quantitative Researcher/Portfolio Manager for Crypto MFT to work remotely with a global remit. You will develop and deploy live systematic strategies, test signals, optimize execution, and manage post-trade analysis across frontier crypto markets.

You'll explore new markets, derivatives, volatility, and market structure, contributing to edge development. A strong independent mindset and experience in tier-1 firms or top education are preferred.

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