Our client, a Tier-1 US bank, commissioned an investigation of the current practices employed across the banking industry regarding the governance and risk management processes for e-Trading algorithms (algos) that incorporate a model component (or feeder).
The obligations and definitions for model risk management set out in the Fed’s SR11-7 have caused a high level of confusion in US institutions active in the algorithmic (algo) space. The definition of a model, in particular, is so broad that in some circumstances it may cover not only quantitative financial models but also algorithmic trading tools and components.
The client was running an obsolete FX trading platform that could not be updated or extended due to lack of source code. The client wanted to design a new scalable and robust platform from scratch which would support low latency trading. The source code would be fully owned by the client.
The client is working on building a software development kit for each mobile platform, as a service embedded into consumer apps and merchants’ systems, enabling more transactions and incremental value in a single ecosystem. The client had scheduled a qualified auditor from a PCI approved organisation to carry out a compliance audit to prove that the client was capable of handling card data management within their systems, processes and governance.
Due to the recent cases of unauthorised trading, the client established a new unit with the aim of the early detection of behaviours that are indicative of potential unauthorised trading within the Investment Bank, in order to avoid financial and reputational loses.
The Compliance team of a major Asset Management firm asked GreySpark to help with the enhancement of their trading surveillance capability.