Quantitative Trader

Quantitative Trader

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

We are working with a high-performing High-Frequency Trading (HFT) team at a world-renowned fund to identify a talented Quantitative Researcher to join their group as they continue to scale off the back of sustained success. This is a unique opportunity to become part of a proven, revenue-generating team that is actively expanding its research capabilities.

Key Responsibilities

• Conduct original research to develop and enhance high-frequency trading strategies across one or more asset classes (e.g., equities, futures, FX).
• Analyze large, high-dimensional datasets to identify predictive signals and market inefficiencies.
• Design, implement, and rigorously backtest quantitative models with a strong focus on robustness and scalability.
• Collaborate closely with traders and engineers to translate research ideas into production systems.
• Monitor live strategies, evaluate performance, and iterate to improve risk-adjusted returns.
• Contribute to the continued evolution of a successful research platform as the team scales.

Requirements

• 2–5 years of experience in a quantitative research or similar role within a trading, hedge fund, or proprietary firm.
• Strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering.
• Proficiency in Python (NumPy, pandas, etc.); experience with C++ or similar languages is a plus.
• Solid understanding of statistics, time series analysis, and machine learning techniques.
• Experience working with high-frequency or tick-level data is highly desirable.
• Demonstrated ability to take ownership of research projects and deliver impactful results.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications

• Prior experience in HFT or ultra-low latency environments.
• Familiarity with market microstructure and electronic trading systems.
• Experience working with distributed systems or large-scale data processing frameworks.
• Track record of alpha generation or published research in a relevant domain.

What They Offer

• The opportunity to join a high-performing team with a proven track record that is actively growing due to its success.
• A high-impact role with real ownership and visibility as the team scales.
• Access to large datasets, cutting-edge infrastructure, and low-latency systems.
• A collaborative, meritocratic environment where strong performance is recognised and rewarded. xhyhwjd
• Competitive compensation, including performance-based incentives.