Crypto Quant Trader & Portfolio Manager - Remote

Albert Bow Limited; Singapore; A distancia; SGD 2.305.000 - 2.946.000; Jornada completa

Descripción de la vacante

Albert Bow Limited seeks a Quantitative Researcher/Portfolio Manager for crypto MFT, offering global remote work. The role involves live systematic strategies, signal research, execution, and risk management with broad scope across markets and products.

You’ll influence what to trade next and own model-driven PnL in a high-performance crypto desk. Requirements include 2–5 years in quantitative research or trading, strong statistics/ML, Python proficiency, and a track record of turning research

Formación

• 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.
• Top-tier peer group, high ownership mindset, thrives in ambiguity.
• Previous experience in Tier 1 firms or exceptional education.

Responsabilidades

• 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.

Conocimientos

Quantitative research

Python

Statistics

ML

Trading

Herramientas

Backtesting frameworks

Descripción del empleo

Albert Bow Limited seeks a Quantitative Researcher/Portfolio Manager for crypto MFT, offering global remote work. The role involves live systematic strategies, signal research, execution, and risk management with broad scope across markets and products.

You’ll influence what to trade next and own model-driven PnL in a high-performance crypto desk. Requirements include 2–5 years in quantitative research or trading, strong statistics/ML, Python proficiency, and a track record of turning research