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, a global asset manager, requested GreySpark to assess, design and implement a program to deliver MiFID II compliance in time for the January 3rd 2018 deadline.
The client, a global wealth management firm, requested GreySpark assess, design and implement a program to deliver MiFiD II compliance in time for the January 3rd 2018 deadline.
The client, a pre-revenue fin-tech payments and mobile commerce start-up acquired the technology assets from another firm and wished to bring a new offering to market in the mobile commerce and payments space within a 9 month timeframe. The assets acquired, however, were limited by a number of architectural short-comings.
The client engaged GreySpark to perform financial and product capability analysis of a trading technology vendor that services both buyside and sellside financial institutions.
The client, a US-based multi billion-dollar Private Equity Fund, considered investing in companies that specialise in electronic trading systems across cash equities, listed derivatives and fixed income. The client’s assessment of the investment opportunity was incomplete by having limited knowledge of electronic trading across those asset classes.
The competitive market place for providers of proximity and colocation data centres has helped lower costs and offer an attractive proposition to banks to locate close to these services and benefit from lower latency.
IONA is a mergers and acquisitions (M&A) decision making project originated by large private equity fund for assessing the integration possibility between an online digital bank (Bank A) and a private retail bank (Bank B).
The client received a new platform tailored specifically to its needs and designed in conjunction with the expert advice and experience of GreySpark.
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.
Following a review in latency performance, the client wanted to conduct a further investigation into low latency firewalls, switches and NICs, used in e Trading colocation scenarios.
