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Quantitative Trader

Albert Bow Limited

Quantitative/Algorithmic Trading Researcher — HFT Crypto & Digital Assets Location: Remote or hybrid (US or APAC hub)

Our client is a full-stack, high-frequency proprietary trading firm with a global footprint across major financial centres in North America and Asia. The firm runs a proprietary, latency-sensitive trading system and execution platform, with direct access to major exchanges worldwide across multiple asset classes.

About the Role You’ll apply quantitative and mathematical methods to evaluate financial products and markets, identifying trading opportunities and managing risk within a high-frequency, systematic trading environment.

Responsibilities

Conduct in-depth research on CeFi market data and order book dynamics

Design and deploy algorithmic trading strategies into production

Expand automated trading coverage into new products and venues, calibrating and tuning performance

Report on daily market sentiment, risk exposure, and P&L

Conduct post-trade analysis of strategy and algo performance, contributing to risk mitigation and portfolio/strategy optimisation

Requirements

Previous HFT experience in US equities, FX, or crypto markets

STEM degree from a top university

Track record of building a profitable strategy from 0 to 1 (need not be currently live)

Focus on strategies with short holding periods, high trading frequency, and high turnover

Prior experience at a proprietary trading firm or hedge fund

Crypto experience a plus, not required

Hands-on coding ability, ideally Rust or C , with comfort using AI tools in the development workflow

Process & General Info

Remote or hybrid/on-site, depending on candidate preference and team fit

Interview process includes 2–3 coding rounds, each 2–3 hours

Excellent written and spoken English required; additional languages a plus

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Vacancy posted 4 days ago
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