Senior Quant Researcher – Equities StatArb – Bonhill Partners

We are currently supporting a leading systematic trading firm specialising in leveraging advanced quantitative research, data science, and cutting-edge technology to capture opportunities across global markets.

We are seeking a Senior Quant Researcher to join the Equities StatArb team, focusing on market-neutral, high-capacity strategies that are data-driven, research-intensive, and scalable across regions. This role will serve as the number 2 to the CIO, and will be essential in contributing fresh perspectives and original strategy ideas.

Key Responsibilities
Research and develop systematic equity stat-arb strategies using large-scale datasets.
Identify and evaluate novel alpha signals across short- and medium-term horizons.
Conduct rigorous statistical testing, simulation, and portfolio optimization.
Mentor junior researchers and contribute to the overall research culture.
Qualifications
5+ years of experience in quantitative research, with a strong track record in equities statistical arbitrage.
Advanced degree (PhD or MSc) in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Machine Learning.
Proficiency in Python (preferred), C++ or other programming languages commonly used in research and production.
Deep knowledge of time-series analysis, econometrics, and machine learning methods.
Familiarity with portfolio construction, risk modeling, and transaction cost analysis.

Given the importance of this role, the compensation package is tailorable for the right candidate.