Quantitative Researcher (Machine Learning)

Company: A market-leading multi-strat hedge fund with a firm global presence.Location: Zug, Switzerland.Brief: A standout PM expanding his mid-frequency equities business is seeking a Junior Quantitative Researcher to contribute to end-to-end alpha research and optimisation.Responsibilities:Research, design, and implement quantitative models and signals for mid-frequency equity strategies.Apply machine learning and optimisation techniques to improve signal quality, portfolio construction, and execution.Conduct feature engineering using market, fundamental, alternative, and derived datasets.Analyse performance, risk, and attribution of live strategies; iterate and improve models based on findings.Maintain high research standards through robust statistical testing and documentation.Requirements:1–4 years of professional experience as a Quantitative Researcher or in a closely related role.MSc or PhD in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Engineering.Demonstrated experience or strong interest in machine learning and/or optimisation techniques (e.g. regularised models, tree-based methods, convex/non-convex optimisation).Strong proficiency in Python.