We have developed leading risk management principles, practices, and models, as well as provided our clients with pertinent advice and tools necessary to adopt this system of knowledge.
We work closely with our clients to enhance their ability to measure risk, manage it and report on it.

We keep abreast of the latest theories and applications in financial and commodity risk and are continuously sharpening our set of mathematical tools to support you in making informed decisions through:
  • Forecasting key variables impacting the bottom line, using carefully adapted mathematical models, with a combination of statistical and fundamental approaches
  • Simulation of supply, demand, prices and risk factors using appropriate models that capture the dynamics of the underlying risk, and implemented in a variety of platforms to facilitate integration with your IT systems
  • Optimization of scheduling, operations, cost and other key processes using state-of-the-art, fast algorithms, that are commensurate with the complexity of your needs
  • Valuation of financial instruments (derivatives) and complex energy deals with embedded optionality (gas swing, storage, power tolling, VPP)
  • Decision-making under uncertainty models such as stochastic dynamic programming, multi-stage linear programming, least-square Monte Carlo that implement dynamic hedging methods to protect value creation from market instability
  • “Big Data” analytics utilizing smart algorithms to uncover hidden patterns and to draw valuable information and insights, thereby increasing your business intelligence
Through different engagements in financial and commodity markets, we have strived to add real value using a pragmatic, flexible and real-world approach, founded on robust financial theory and quantitative modelling.
Click below to learn more about some featured delivered projects.

Simulating trading strategies for a hedge fund
Simulating market prices for a re-insurance company
Pairs trading for an investment bank
Power price forecasting for a retailer
Optimizing power dispatch and hedging for a producer
Optimizing a power retailer's portfolio
Optimizing energy procurement for a consumer
Optimizing a refiner's margins
Optimizing gas procurement for a retailer
Fitting a volatility curve for a gas trader

We selected a sample of software applications implemented for different clients and reproduced demo versions that, whilst offering minimal functionality, indicated the implemented solution using interactive real-time computations in the cloud.
Click below to learn more about these solutions.

Simulating trading strategies
Simulating market prices
Optimizing power production
Optimizing retail's procurement & sales
Optimizing consumer's procurement
Optimizing refinery margins
Fitting volatility curve

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