Quantitative Trader (City of London)

About the Company

Join a global leader in online trading and investments, renowned for pioneering technology and a commitment to empowering traders and investors worldwide. With decades of experience, this firm offers access to a wide range of financial instruments including forex, indices, commodities, and equities. The company is known for its robust trading platforms, deep liquidity, and a culture that values innovation, integrity, and performance.

Role Overview

We are seeking a highly motivated and analytically driven Quantitative Trader with a strong background in FX and CFD markets. You will be responsible for developing and executing trading strategies, optimizing execution, and contributing to the firm’s overall trading performance. This is a high-impact role that blends quantitative research, algorithmic trading, and real-time risk

management.

Key Responsibilities

• Design, implement, and manage systematic trading strategies in FX and CFD markets.
• Analyze market microstructure and identify alpha-generating opportunities.
• Collaborate with quant researchers, developers, and risk managers to enhance trading models and infrastructure.
• Monitor and optimize trading performance, including slippage, latency, and execution quality.
• Conduct post-trade analysis and continuously refine strategies based on market conditions and performance metrics.
• Ensure compliance with regulatory requirements and internal risk controls.

Requirements

• Proven experience in quantitative trading, with a focus on FX and CFDs.
• Strong programming skills in Python, C++, or similar languages used in trading environments.
• Solid understanding of financial markets, trading systems, and market data.
• Experience with statistical modeling, machine learning, or signal processing techniques.
• Ability to work in a fast-paced, collaborative environment with a high degree of autonomy.
• Excellent problem-solving skills and attention to detail.

Preferred Qualifications

• Advanced degree (MSc/PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering.
• Experience with low-latency trading systems and real-time data processing.
• Familiarity with trading APIs, FIX protocol, and order management systems.