We are seeking a highly technical Quantitative Researcher to join our clients Global Equities Statistical Arbitrage team. This role will sit under a Senior PM who will be looking for someone with strong research ability but also strong technical skills (Python, C++). This role is ideal for someone passionate about research and innovation, as you will collaborate directly with the PM and trading team to translate research into actionable strategies.
Responsibilities:
• Conduct research to develop short-term statistical arbitrage signals.
• Analyze large-scale tick-level datasets to identify patterns and opportunities.
• Collaborate with traders and engineers to design and refine strategies.
• Prototype and validate models in Python; assist in production implementation using C++.
• Continuously improve signal generation and execution efficiency.
Required Skills & Qualifications
• Advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.
• Strong programming skills:
• Python for data analysis and research.
• C++ experience is highly desirable for production environments.
• Solid understanding of statistical modeling, time-series analysis, and machine learning techniques.
• Experience working with tick-level or high-frequency datasets.
• Ability to work independently on complex research problems and communicate findings clearly.
• Prior exposure to global equities markets and statistical arbitrage strategies.
• Experience in a systematic trading environment.
