Quantitative & Risk Analytics

Time-series analysis, regression and machine learning methods applied to financial and business data.

Clean, documented datasets and dashboards built in Python, R, Excel and Power BI.

Pricing models and payoff and scenario analysis for options and other derivatives, prepared for research and educational use.

Value-at-Risk, stress testing and scenario models that quantify market, credit and operational exposures.

Risk taxonomies, key risk indicators and reporting designed with reference to frameworks such as ISO 31000 and Basel III.

Testing models and strategies against historical data and in simulated environments. We do not execute trades for clients, manage client assets or provide investment advice.