Development of Quantitative Models

• Assist in the creation, testing, and documentation of quantitative models for analysing financial markets from both a return and risk perspective.
• Apply rigorous mathematical reasoning, ensuring that derivations, assumptions, and methodological choices are clearly stated and reproducible.\
• Contribute to research projects requiring careful validation, sensitivity analysis, and clear separation of known, inferred, and uncertain components.

Automation and Research Infrastructure

• Help automate existing analytical workflows, including data processing pipelines and repeatable research routines.
• Assist in building and maintaining a structured library of data visualisation tools and statistical utilities, written in clean, well documented code (R or Python).
• Emphasise reproducibility, version control, and comprehensive error handling.

Quantitative Tools and Statistical Analysis

• Develop and maintain quantitative tools for analysing asset markets, focusing on return distributions, risk characteristics, and behaviour under stress or volatility.
• Implement statistical techniques with methodological care, ensuring transparency of assumptions and avoiding ad hoc or unverified procedures.

Market Research and Trading Idea Support

• Assist in identifying and evaluating trading opportunities across asset classes using data driven and mathematically sound frameworks.
• Support research on themes such as volatility, mean reversion, cross asset relationships, and the impact of macroeconomic or geopolitical events.
• Apply foundational derivatives knowledge where relevant, ensuring clarity and correctness in any analytical work involving options or related structures.