Remote Quant Researcher & Portfolio Strategist (Crypto)

Albert Bow Limited; Singapore; Remote; SGD 2,566,000 - 2,951,000; Full time

Job summary

Albert Bow Limited is seeking a Quantitative Researcher/Portfolio Manager for a remote, globally distributed role. You will work on live systematic strategies with direct PnL ownership and explore new markets, products, and strategy areas to build durable edge.

Responsibilities include developing models, mining signals, productionizing research, backtesting, and shaping firm strategy. Requires 2–5 years in quants, strong Python, and top-tier experience.

Qualifications

• 2–5 years in quantitative research or systematic trading.
• Strong foundations in statistics, probability, ML, or optimization.
• Track record turning research on noisy financial data into live trading strategies.
• Strong Python skills, comfortable working independently.
• Previous experience in Tier 1 firms or exceptional education.

Responsibilities

• Develop, test, and deploy quantitative models (statistical, econometric, ML) with direct PnL ownership.
• Mine market microstructure, derivatives, and macro data for persistent, monetizable 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

Stats/ML

Python

Quant research

Independent work

Tier1 experience

Tools

Python

Job description

Albert Bow Limited is seeking a Quantitative Researcher/Portfolio Manager for a remote, globally distributed role. You will work on live systematic strategies with direct PnL ownership and explore new markets, products, and strategy areas to build durable edge.

Responsibilities include developing models, mining signals, productionizing research, backtesting, and shaping firm strategy. Requires 2–5 years in quants, strong Python, and top-tier experience.