Senior Equity Quant Trader — Global Markets

Selby Jennings; Boston (MA); On-site; USD 180,000 - 280,000; Full time

Job summary

Selby Jennings partners with a leading quantitative investment firm seeking an experienced Quant Trader to join its cross-asset trading team. The role focuses on equities, with responsibility for monitoring, executing, and optimizing trading activity across global markets.

You will collaborate with portfolio managers, researchers, and developers, build and enhance proprietary tools in Python, and identify opportunities to improve execution quality and automation in a fast-paced environment.

Qualifications

• 5+ years of experience in a quantitative trading, execution trading, or trading-focused role.
• Experience trading or monitoring equity strategies in a live trading environment.
• Understanding of market microstructure, execution algorithms, and trading workflows.
• Strong analytical and problem-solving capabilities.
• Ability to operate effectively in a fast-paced, highly collaborative environment.

Responsibilities

• Monitor and manage live trading activity across global equity markets.
• Execute and oversee systematic and discretionary trading strategies.
• Analyze execution quality, transaction costs, and overall trading performance.
• Partner with portfolio managers, researchers, and developers to improve trading outcomes.
• Develop and enhance proprietary trading, analytics, and monitoring tools in Python.
• Identify trading inefficiencies, operational risks, and opportunities for automation.

Skills

Quant trading

Equities trading

Python

Market microstructure

Execution algorithms

Data analysis

Collaboration

Job description

Selby Jennings partners with a leading quantitative investment firm seeking an experienced Quant Trader to join its cross-asset trading team. The role focuses on equities, with responsibility for monitoring, executing, and optimizing trading activity across global markets.

You will collaborate with portfolio managers, researchers, and developers, build and enhance proprietary tools in Python, and identify opportunities to improve execution quality and automation in a fast-paced environment.