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.