Quantitative Trading Strategist

Confidential; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Confidential in London is seeking a Quantitative Trader to join a leading proprietary trading firm. You will develop, execute, and enhance systematic trading strategies across global markets, collaborating with researchers, traders, and tech teams.

The role emphasizes backtesting, data-driven analysis, and automated execution, with ownership from research through implementation and ongoing improvement of strategies.

Qualifications

• 3–8 years of experience in quantitative or algorithmic trading.
• Experience at a proprietary trading/HFT environment.
• Bachelor's degree in Computer Science and Engineering.
• Strong programming and quantitative skills.

Responsibilities

• Identify, develop, maintain, and enhance systematic trading strategies.
• Build, backtest, and improve scalable quantitative trading models.
• Analyse trading performance and financial time-series data using statistical and data-driven methods.
• Develop systematic approaches to automate trading strategies and improve execution.
• Construct, test, maintain and continuously improve financial models.
• Work closely with technology and engineering teams to maintain and enhance electronic trading systems.
• Monitor trading performance and risk, with a strong understanding of risk management procedures.
• Investigate market behavior, identify opportunities and translate quantitative insights into actionable trading strategies.
• Take ownership of strategies through the research, backtesting, implementation and improvement lifecycle.

Skills

C++

Python

Quantitative analysis

Statistics

Time-series analysis

Backtesting

Data structures

Risk management

Independent work

Education

BSc in Computer Science & Engineering

Job description

Confidential in London is seeking a Quantitative Trader to join a leading proprietary trading firm. You will develop, execute, and enhance systematic trading strategies across global markets, collaborating with researchers, traders, and tech teams.

The role emphasizes backtesting, data-driven analysis, and automated execution, with ownership from research through implementation and ongoing improvement of strategies.