Derivatives Pricing AI Solutions

We begin by co-defining the precise pricing objective—whether for complex OTC exotics, XVA adjustments, or real-time Greeks—and architecting the data pipeline. This includes sourcing and structuring clean market data, historical volatility surfaces, and counterparty risk factors, ensuring the foundation supports neural network training without data leakage.

Client Value: Eliminates costly rework by aligning technical execution with business requirements from day one.

Our quants and ML engineers design and prototype custom neural architectures—such as PDE-solving networks or attention-based models for path-dependent options—tailored to your specific derivative book. We rigorously benchmark against traditional Monte Carlo and finite difference methods to validate speed and accuracy gains.

Client Value: Delivers a working prototype in 2-3 weeks, providing tangible proof of concept and a clear path to production.

We engineer the model for low-latency inference, optimizing for GPU/TPU acceleration and integrating with your existing risk systems (Murex, Calypso, proprietary platforms) via secure APIs. This phase includes building robust calibration loops and real-time market data connectors.

Client Value: Achieves inference speeds 10-100x faster than traditional simulations, enabling intraday risk rebalancing and more effective hedging.

Every model undergoes rigorous back-testing, stress testing across extreme market scenarios, and implementation of Explainable AI (XAI) frameworks to meet model risk management (SR 11-7) and audit requirements. We manage the full deployment lifecycle with comprehensive monitoring dashboards.

Client Value: Ensures regulatory compliance and model trustworthiness, providing full audit trails for risk committees and reducing validation cycle time.