Industry
Financial Services
Risk, portfolio and operations problems where the model has to be explainable to somebody who can fine you.
Problems we address
- Risk scenarios that take too long to run to inform the decision they exist for
- Fraud rules that reliably catch last year's fraud
- Portfolio construction under constraints that refuse to decompose neatly
- Manual operations processes whose only scaling strategy is hiring
How we approach it
Related research
Maturity labels are not decoration. Most of this is at concept stage.
Insurance
Risk pricing, scenario modelling, claims/fraud analysis and portfolio management concepts.
Trading Optimization
Execution optimisation, transaction costs, market impact and dynamic allocation.
Risk Management
Scenario analysis, stress testing, VaR and constraint optimisation.
Portfolio Optimisation
QUBO, VQE/QAOA and hybrid concepts for asset allocation and risk-return trade-offs.
Quantum AI-Driven Portfolio Optimization
Published on the legacy site as a case study: no named client, no baseline, no measured result and no permission to publish one. It stays here as a research direction rather than under Work, because deleting it would have removed a legitimate question along with the overclaim. The honestly-labelled version of the same problem is under Portfolio Optimisation.