Junior Quantitative Analyst / Researcher

About the role

We are building a quantitative research platform for systematic investing across global financial markets. As a Junior Quantitative Analyst you will spend most of your time formulating hypotheses, designing experiments, analysing results, and determining whether an investment idea survives rigorous statistical testing.

Key responsibilities

• Research quantitative investment signals and alpha factors.
• Formulate and test hypotheses about market behaviour using large historical datasets.
• Build reproducible research workflows in Python and evaluate predictive signals with statistical methods.
• Calculate and interpret metrics such as information coefficient, turnover, drawdown, volatility and risk‑adjusted return.
• Design and validate backtests while eliminating look‑ahead, survivorship, selection bias and data leakage.
• Perform robustness, sensitivity and out‑of‑sample testing, and investigate why promising strategies stop working.
• Improve data pipelines, research infrastructure and automation, and help move successful ideas from notebooks into production.
• Collaborate directly with the founder on research priorities, platform architecture and investment strategy development.

Required profile

• Strong analytical mindset with the ability to think rigorously and work independently.
• Interest in quantitative finance and systematic investing, even without prior finance experience.
• Ability to write reliable, reproducible code and document research findings clearly.

Required skills

• Python programming