FX Quant Trader: Build & Scale Systematic FX Strategies

Joseph Anthony Group; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Joseph Anthony Group in New York City seeks a highly quantitative FX Quant Trader to join its leading proprietary trading firm. You will develop, implement, and manage systematic and semi-systematic strategies across global FX markets, blending research, execution optimization, and risk management in a fast-paced tech-driven environment.

The role requires strong FX market knowledge, statistical modeling, and programming in Python, with optional C++, Java, or Rust experience.

Qualifications

• Advanced degree in mathematics, statistics, physics, CS, engineering, economics, or related field.
• Experience trading or researching systematic FX strategies in a prop trading, hedge fund, bank, or market maker.

Responsibilities

• Research, develop, and deploy quantitative FX trading strategies across G10 and EM FX products.
• Analyze large datasets to identify predictive signals, market anomalies, and alpha opportunities.
• Design and enhance systematic execution models to improve trading performance and reduce costs.
• Monitor and optimize live trading strategies with direct responsibility for risk and profitability.
• Collaborate with researchers and engineers to build scalable trading infrastructure.
• Conduct backtesting and performance attribution of trading models.
• Leverage macro indicators and market microstructure insights to drive decisions.
• Continuously adapt strategies to evolving liquidity and volatility regimes.
• Develop tools for portfolio construction and risk management.
• Present findings and performance updates to senior leadership.

Skills

Quantitative analysis

FX market understanding

Python programming

C++/Java/Rust

Statistical modeling

Machine learning

Time series analysis

Backtesting

Risk management

Education

Bachelor’s/Master’s/PhD in quantitative discipline

Tools

Python

C++

Java

Rust

Job description

Joseph Anthony Group in New York City seeks a highly quantitative FX Quant Trader to join its leading proprietary trading firm. You will develop, implement, and manage systematic and semi-systematic strategies across global FX markets, blending research, execution optimization, and risk management in a fast-paced tech-driven environment.

The role requires strong FX market knowledge, statistical modeling, and programming in Python, with optional C++, Java, or Rust experience.