Quantitative Researcher.

02 What you’ll do

• Explore market and order-book data to identify and evaluate potential trading signals.
• Build backtests that account for transaction costs, execution constraints, and data quality.
• Develop quantitative models and test their robustness across changing market conditions.
• Work with developers to bring strategies from research into live trading.
• Monitor performance, investigate changes, and refine models based on evidence.

03 What you’ll bring

• A strong foundation in probability, statistics, and quantitative reasoning.
• Practical Python skills for data analysis, modelling, and research.
• An understanding of backtesting pitfalls, overfitting, and out-of-sample validation.
• An interest in market microstructure and how trading strategies execute in practice.
• The ability to explain your assumptions, document results, and work independently in a remote team.

Experience with time-series analysis, large financial datasets, or live systematic strategies is useful.