FCA fines five banks £1.1 billion for FX failings

The Financial Conduct Authority (FCA) has imposed fines totalling $1.7 billion on five banks for failing to control business practices in their G10 spot foreign exchange (FX) trading operations.

Between 1 January 2008 and 15 October 2013, ineffective controls at the Banks allowed G10 spot FX traders to put their Banks’ interests ahead of those of their clients, other market participants and the wider UK financial system. The Banks failed to manage obvious risks around confidentiality, conflicts of interest and trading conduct.

These failings allowed traders at those Banks to behave unacceptably. They shared information about clients’ activities which they had been trusted to keep confidential and attempted to manipulate G10 spot FX currency rates, including in collusion with traders at other firms, in a way that could disadvantage those clients and the market.

Today’s fines are the largest ever imposed by the FCA, or its predecessor the Financial Services Authority (FSA), and this is the first time the FCA has pursued a settlement with a group of banks in this way. We have worked closely with other regulators in the UK, Europe and the US: today the Swiss regulator, FINMA, has disgorged CHF 134 million ($138 million) from UBS AG; and, in the US, the Commodity Futures Trading Commission (‘the CFTC’) has imposed a total financial penalty of over $1.4 billion on the Banks and the Office of the Comptroller of the Currency (‘the OCC’) has imposed a total financial penalty of $700 million on Citibank N.A. and JPMorgan Chase Bank N.A.

Since Libor general improvements have been made across the financial services industry, and some remedial action was taken by the Banks fined today. However, despite our well-publicised action in relation to Libor and the systemic importance of the G10 spot FX market, the Banks failed to take adequate action to address the underlying root causes of the failings in that business.

Author: Martin North

Martin North is the Principal of Digital Finance Analytics

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