Quantitative development
Python, R, MATLAB and Excel tools for analytical modelling and testing.
Quantitative finance
Quantitative finance advisory, training and research.
Specialist work from quantitative models to operational systems.
What we do
Three areas of work.
01
Advisory
Quantitative portfolio management, risk, structured products, derivatives and implementation.
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02
Training
Institutional programmes, CFA and FRM preparation, and postgraduate support.
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03
Research
Macro and market regime modelling, alternative data, systematic portfolio management and commissioned research.
Read more →The practice
From research to working systems.
Models and practical advice for institutions, teams and professionals.
01
Quantitative portfolio management
Portfolio construction, allocation, performance, risk and systematic methods.
02
Quantitative risk management
Measurement, scenarios, stress testing, model review and governance.
03
Structured products and derivatives
Cash-flow modelling, pricing, scenarios, hedging and collateral.
04
Macro and systematic research
Regime modelling, machine learning, signals and portfolio applications.
Technology
Tools for quantitative work.
Models can be delivered as tested code, data pipelines, APIs and internal tools.
Data and integration
SQL, PostgreSQL and APIs for data storage, retrieval and research pipelines.
Local LLM workflows
Local LLMs for analysis, multilingual source work and research insight.
Production environments
Docker, Git and Linux for packaging, version control and monitoring.
