Lead HFT Quant Trader — Own Your Desk, Live PnL

Albert Bow Limited; New York (NY); Remote; USD 213,000 - 288,000; Full time

Benefits offered by this job

Equity

PnL ownership

Remote work

Job summary

Albert Bow Limited in New York seeks an experienced Quantitative Trader to run and scale high-frequency trading strategies. You will own live PnL, develop ultra-low-latency trading signals, and collaborate with engineers to deploy and maintain production systems.

This role targets traders already running live strategies and ready to own a desk and grow it, with 2+ years of live PnL responsibility. Requirements include Python and at least one production language (C++, Rust, or Java), deep market

Qualifications

• Advanced degree (PhD/MSc) or strong BS in a quantitative field, or equivalent experience.
• 3+ years in HFT/market-making or equivalent low-latency trading experience.
• Proven track record trading live strategies.
• Strong Python and at least one production language (C++, Rust, Java).
• Deep knowledge of market microstructure, order books, execution, and latency.
• Experience with tick-level data, backtesting frameworks, and live monitoring.
• Strong statistics, time-series, and risk-management skills.

Responsibilities

• Own live trading strategies, PnL, and risk across multiple venues.
• Develop and refine microstructure-aware alpha and execution tactics.
• Implement and iterate low-latency signal and execution improvements with engineers.
• Design and validate realistic backtests (market impact, latency) and monitor live performance and risk.
• Maintain reproducible deployment pipelines, data quality checks, and monitoring.

Skills

Python

C++

Rust

Java

Statistics

Time-series

Risk management

Education

PhD

MSc

BS in quantitative field

Tools

Backtesting frameworks

Live monitoring

Data feeds

Cloud/on-prem infra

Job description

Albert Bow Limited in New York seeks an experienced Quantitative Trader to run and scale high-frequency trading strategies. You will own live PnL, develop ultra-low-latency trading signals, and collaborate with engineers to deploy and maintain production systems.

This role targets traders already running live strategies and ready to own a desk and grow it, with 2+ years of live PnL responsibility. Requirements include Python and at least one production language (C++, Rust, or Java), deep market