Quantitative Researcher Equities

Overview

Quantitative Researcher for mid-frequency equity statistical arbitrage, focused on alpha generation and building the end-to-end research pipeline.

What you'll do

• Research, design, and implement predictive signals and features for global equities.
• Develop feature engineering and point-in-time (PIT) data cleaning pipelines.
• Collaborate on research infrastructure, backtesting frameworks, and analytical tools.
• Build frameworks/tools for performance attribution.
• Support ongoing live strategy monitoring.

What you'll need

• 2–8 years of experience in quant equities with a primary focus on alpha research.
• Familiarity with standard and alternative datasets for equity stat arb, including data cleansing and ticker mapping.
• Experience handling point-in-time (PIT) data and dataset idiosyncrasies.
• Strong programming skills in Python.
• Experience with SQL and distributed data environments.
• Advanced degree (PhD/MSc) in Mathematics, Physics, Statistics, Computer Science, or related quantitative fields.

Details

• Collaborate closely with the Portfolio Manager and other team members across research pipeline stages.